#données iris from package "datasets"
data(iris)
#descritpion
str(iris)'data.frame': 150 obs. of 5 variables:
$ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
$ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
$ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
$ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
$ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...#premières lignes
head(iris)#nombre de modalités de la cible
K <- nlevels(iris$Species)
print(K)[1] 3#id pour l'échantillon TRAIN
set.seed(24122020)
idTrain <- sample(1:nrow(iris),100)
print(idTrain) [1] 57 37 115 18 89 88 67 120 109 113 41 137 34 106 105 63 17 98 77
[20] 139 52 64 65 140 119 132 141 5 20 108 60 110 36 143 101 72 58 84
[39] 123 111 136 4 33 69 71 16 130 138 46 31 43 80 87 19 76 22 129
[58] 15 81 107 148 26 79 125 94 86 133 27 68 13 92 53 102 144 39 100
[77] 121 62 149 93 48 10 6 61 55 32 134 29 145 75 54 14 2 45 47
[96] 90 146 8 9 42#éch. d'apprentissage
DTrain <- iris[idTrain,]
#échantillon test
DTest <- iris[-idTrain,]
#dimensions
print(dim(DTrain))[1] 100 5print(dim(DTest))[1] 50 5#standardisation des var. prédictives
ZTrain <- scale(DTrain[,1:4],center=TRUE,scale=TRUE)
#vérifications
print(apply(ZTrain,2,mean)) #moyennes Sepal.Length Sepal.Width Petal.Length Petal.Width
-3.534911e-16 3.227778e-16 -1.091336e-16 -9.664795e-17 print(apply(ZTrain,2,sd)) #écarts-typeSepal.Length Sepal.Width Petal.Length Petal.Width
1 1 1 1 #récupération en code la variable cible
codeYTrain <- unclass(DTrain$Species)
print(codeYTrain) [1] 2 1 3 1 2 2 2 3 3 3 1 3 1 3 3 2 1 2 2 3 2 2 2 3 3 3 3 1 1 3 2 3 1 3 3 2 2 2 3
[40] 3 3 1 1 2 2 1 3 3 1 1 1 2 2 1 2 1 3 1 2 3 3 1 2 3 2 2 3 1 2 1 2 2 3 3 1 2 3 2
[79] 3 2 1 1 1 2 2 1 3 1 3 2 2 1 1 1 1 2 3 1 1 1
attr(,"levels")
[1] "setosa" "versicolor" "virginica" #préparation matrice
mYTrain <- matrix(0,nrow=nrow(DTrain),ncol=K)
#remplissage de 1 dans les bonnes colonnes
for (i in 1:nrow(DTrain)){
mYTrain[i,codeYTrain[i]] <- 1
}
#vérification
print(head(DTrain$Species,10)) [1] versicolor setosa virginica setosa versicolor versicolor versicolor
[8] virginica virginica virginica
Levels: setosa versicolor virginica#vs.
print(head(mYTrain,10)) [,1] [,2] [,3]
[1,] 0 1 0
[2,] 1 0 0
[3,] 0 0 1
[4,] 1 0 0
[5,] 0 1 0
[6,] 0 1 0
[7,] 0 1 0
[8,] 0 0 1
[9,] 0 0 1
[10,] 0 0 1#remplissage matrice
mYTrain <- t(sapply(1:nrow(DTrain),function(i){v <- rep(0,K);v[codeYTrain[i]] <- 1;return(v)}))
#vérification
print(head(DTrain$Species,10)) [1] versicolor setosa virginica setosa versicolor versicolor versicolor
[8] virginica virginica virginica
Levels: setosa versicolor virginica#vs.
print(head(mYTrain,10)) [,1] [,2] [,3]
[1,] 0 1 0
[2,] 1 0 0
[3,] 0 0 1
[4,] 1 0 0
[5,] 0 1 0
[6,] 0 1 0
[7,] 0 1 0
[8,] 0 0 1
[9,] 0 0 1
[10,] 0 0 1#codes possibles
codesPossibles <- seq(1,K)
#ou encore - si on veut vraiment du R puriste de chez puriste
mYTrain <- 1*t(sapply(codeYTrain,function(v){(codesPossibles==v)}))
#vérification
print(head(DTrain$Species,10)) [1] versicolor setosa virginica setosa versicolor versicolor versicolor
[8] virginica virginica virginica
Levels: setosa versicolor virginica#vs.
print(head(mYTrain,10)) [,1] [,2] [,3]
[1,] 0 1 0
[2,] 1 0 0
[3,] 0 0 1
[4,] 1 0 0
[5,] 0 1 0
[6,] 0 1 0
[7,] 0 1 0
[8,] 0 0 1
[9,] 0 0 1
[10,] 0 0 1#chargement de la librairie
library(keras)
#définition de la structure
clf <- keras::keras_model_sequential()2020-12-24 15:45:42.131737: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-12-24 15:45:42.132254: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.clf %>% layer_dense(units=K,input_shape=ncol(ZTrain),activation="softmax")2020-12-24 15:45:46.577652: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
2020-12-24 15:45:46.577871: E tensorflow/stream_executor/cuda/cuda_driver.cc:313] failed call to cuInit: UNKNOWN ERROR (303)
2020-12-24 15:45:46.582031: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: DESKTOP-S40H0PS
2020-12-24 15:45:46.582274: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: DESKTOP-S40H0PS
2020-12-24 15:45:46.584768: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-12-24 15:45:46.626837: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x1c92e969130 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-12-24 15:45:46.627163: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Versionclf %>% compile(loss="categorical_crossentropy",optimizer="adam",metrics="categorical_accuracy")
#lancement de la modélisation
clf %>% fit(x=ZTrain,y=mYTrain,epochs=150,batch_size=5)Epoch 1/150
1/20 [>.............................] - ETA: 0s - loss: 1.7726 - categorical_accuracy: 0.0000e+00
20/20 [==============================] - 0s 1ms/step - loss: 1.5632 - categorical_accuracy: 0.1500
20/20 [==============================] - 1s 40ms/step - loss: 1.5632 - categorical_accuracy: 0.1500
Epoch 2/150
1/20 [>.............................] - ETA: 0s - loss: 1.2480 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 908us/step - loss: 1.4960 - categorical_accuracy: 0.1500
20/20 [==============================] - 0s 15ms/step - loss: 1.4960 - categorical_accuracy: 0.1500
Epoch 3/150
1/20 [>.............................] - ETA: 0s - loss: 1.3777 - categorical_accuracy: 0.2000
20/20 [==============================] - 0s 1ms/step - loss: 1.4342 - categorical_accuracy: 0.1600
20/20 [==============================] - 0s 17ms/step - loss: 1.4342 - categorical_accuracy: 0.1600
Epoch 4/150
1/20 [>.............................] - ETA: 0s - loss: 1.2624 - categorical_accuracy: 0.2000
20/20 [==============================] - 0s 1ms/step - loss: 1.3732 - categorical_accuracy: 0.1700
20/20 [==============================] - 0s 15ms/step - loss: 1.3732 - categorical_accuracy: 0.1700
Epoch 5/150
1/20 [>.............................] - ETA: 0s - loss: 1.1842 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 1ms/step - loss: 1.3163 - categorical_accuracy: 0.1800
20/20 [==============================] - 0s 15ms/step - loss: 1.3163 - categorical_accuracy: 0.1800
Epoch 6/150
1/20 [>.............................] - ETA: 0s - loss: 1.3237 - categorical_accuracy: 0.0000e+00
20/20 [==============================] - 0s 1ms/step - loss: 1.2624 - categorical_accuracy: 0.2000
20/20 [==============================] - 0s 15ms/step - loss: 1.2624 - categorical_accuracy: 0.2000
Epoch 7/150
1/20 [>.............................] - ETA: 0s - loss: 1.3995 - categorical_accuracy: 0.0000e+00
20/20 [==============================] - 0s 1ms/step - loss: 1.2120 - categorical_accuracy: 0.2400
20/20 [==============================] - 0s 16ms/step - loss: 1.2120 - categorical_accuracy: 0.2400
Epoch 8/150
1/20 [>.............................] - ETA: 0s - loss: 1.4660 - categorical_accuracy: 0.2000
20/20 [==============================] - 0s 998us/step - loss: 1.1648 - categorical_accuracy: 0.3000
20/20 [==============================] - 0s 15ms/step - loss: 1.1648 - categorical_accuracy: 0.3000
Epoch 9/150
1/20 [>.............................] - ETA: 0s - loss: 1.4028 - categorical_accuracy: 0.0000e+00
20/20 [==============================] - 0s 949us/step - loss: 1.1168 - categorical_accuracy: 0.3200
20/20 [==============================] - 0s 15ms/step - loss: 1.1168 - categorical_accuracy: 0.3200
Epoch 10/150
1/20 [>.............................] - ETA: 0s - loss: 1.0949 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 1ms/step - loss: 1.0752 - categorical_accuracy: 0.3500
20/20 [==============================] - 0s 15ms/step - loss: 1.0752 - categorical_accuracy: 0.3500
Epoch 11/150
1/20 [>.............................] - ETA: 0s - loss: 0.9659 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 900us/step - loss: 1.0349 - categorical_accuracy: 0.3600
20/20 [==============================] - 0s 15ms/step - loss: 1.0349 - categorical_accuracy: 0.3600
Epoch 12/150
1/20 [>.............................] - ETA: 0s - loss: 0.8810 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 999us/step - loss: 0.9977 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 15ms/step - loss: 0.9977 - categorical_accuracy: 0.4000
Epoch 13/150
1/20 [>.............................] - ETA: 0s - loss: 1.0338 - categorical_accuracy: 0.2000
20/20 [==============================] - 0s 949us/step - loss: 0.9627 - categorical_accuracy: 0.4700
20/20 [==============================] - 0s 16ms/step - loss: 0.9627 - categorical_accuracy: 0.4700
Epoch 14/150
1/20 [>.............................] - ETA: 0s - loss: 0.9556 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.9303 - categorical_accuracy: 0.5500
20/20 [==============================] - 0s 16ms/step - loss: 0.9303 - categorical_accuracy: 0.5500
Epoch 15/150
1/20 [>.............................] - ETA: 0s - loss: 0.9911 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.8994 - categorical_accuracy: 0.5900
20/20 [==============================] - 0s 15ms/step - loss: 0.8994 - categorical_accuracy: 0.5900
Epoch 16/150
1/20 [>.............................] - ETA: 0s - loss: 0.9314 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 950us/step - loss: 0.8714 - categorical_accuracy: 0.6300
20/20 [==============================] - 0s 15ms/step - loss: 0.8714 - categorical_accuracy: 0.6300
Epoch 17/150
1/20 [>.............................] - ETA: 0s - loss: 0.7282 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 2ms/step - loss: 0.8452 - categorical_accuracy: 0.6500
20/20 [==============================] - 0s 17ms/step - loss: 0.8452 - categorical_accuracy: 0.6500
Epoch 18/150
1/20 [>.............................] - ETA: 0s - loss: 0.8765 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 999us/step - loss: 0.8198 - categorical_accuracy: 0.7000
20/20 [==============================] - 0s 15ms/step - loss: 0.8198 - categorical_accuracy: 0.7000
Epoch 19/150
1/20 [>.............................] - ETA: 0s - loss: 0.8136 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.7971 - categorical_accuracy: 0.7100
20/20 [==============================] - 0s 15ms/step - loss: 0.7971 - categorical_accuracy: 0.7100
Epoch 20/150
1/20 [>.............................] - ETA: 0s - loss: 0.9179 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.7754 - categorical_accuracy: 0.7300
20/20 [==============================] - 0s 15ms/step - loss: 0.7754 - categorical_accuracy: 0.7300
Epoch 21/150
1/20 [>.............................] - ETA: 0s - loss: 0.6775 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.7561 - categorical_accuracy: 0.7400
20/20 [==============================] - 0s 15ms/step - loss: 0.7561 - categorical_accuracy: 0.7400
Epoch 22/150
1/20 [>.............................] - ETA: 0s - loss: 0.8206 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.7371 - categorical_accuracy: 0.7700
20/20 [==============================] - 0s 15ms/step - loss: 0.7371 - categorical_accuracy: 0.7700
Epoch 23/150
1/20 [>.............................] - ETA: 0s - loss: 0.9772 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 1ms/step - loss: 0.7198 - categorical_accuracy: 0.7700
20/20 [==============================] - 0s 16ms/step - loss: 0.7198 - categorical_accuracy: 0.7700
Epoch 24/150
1/20 [>.............................] - ETA: 0s - loss: 0.7488 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.7034 - categorical_accuracy: 0.7800
20/20 [==============================] - 0s 15ms/step - loss: 0.7034 - categorical_accuracy: 0.7800
Epoch 25/150
1/20 [>.............................] - ETA: 0s - loss: 0.6005 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 949us/step - loss: 0.6887 - categorical_accuracy: 0.7800
20/20 [==============================] - 0s 14ms/step - loss: 0.6887 - categorical_accuracy: 0.7800
Epoch 26/150
1/20 [>.............................] - ETA: 0s - loss: 0.5832 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.6738 - categorical_accuracy: 0.7800
20/20 [==============================] - 0s 15ms/step - loss: 0.6738 - categorical_accuracy: 0.7800
Epoch 27/150
1/20 [>.............................] - ETA: 0s - loss: 0.8486 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 949us/step - loss: 0.6608 - categorical_accuracy: 0.7800
20/20 [==============================] - 0s 15ms/step - loss: 0.6608 - categorical_accuracy: 0.7800
Epoch 28/150
1/20 [>.............................] - ETA: 0s - loss: 0.4760 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 899us/step - loss: 0.6479 - categorical_accuracy: 0.7900
20/20 [==============================] - 0s 15ms/step - loss: 0.6479 - categorical_accuracy: 0.7900
Epoch 29/150
1/20 [>.............................] - ETA: 0s - loss: 0.7373 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 899us/step - loss: 0.6363 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 15ms/step - loss: 0.6363 - categorical_accuracy: 0.8000
Epoch 30/150
1/20 [>.............................] - ETA: 0s - loss: 0.4459 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.6248 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 17ms/step - loss: 0.6248 - categorical_accuracy: 0.8000
Epoch 31/150
1/20 [>.............................] - ETA: 0s - loss: 0.5479 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 900us/step - loss: 0.6146 - categorical_accuracy: 0.8100
20/20 [==============================] - 0s 15ms/step - loss: 0.6146 - categorical_accuracy: 0.8100
Epoch 32/150
1/20 [>.............................] - ETA: 0s - loss: 0.7665 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 999us/step - loss: 0.6046 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.6046 - categorical_accuracy: 0.8200
Epoch 33/150
1/20 [>.............................] - ETA: 0s - loss: 0.8420 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 850us/step - loss: 0.5950 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5950 - categorical_accuracy: 0.8200
Epoch 34/150
1/20 [>.............................] - ETA: 0s - loss: 0.7104 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.5863 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 14ms/step - loss: 0.5863 - categorical_accuracy: 0.8200
Epoch 35/150
1/20 [>.............................] - ETA: 0s - loss: 0.5778 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.5780 - categorical_accuracy: 0.8100
20/20 [==============================] - 0s 15ms/step - loss: 0.5780 - categorical_accuracy: 0.8100
Epoch 36/150
1/20 [>.............................] - ETA: 0s - loss: 0.3090 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.5695 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 16ms/step - loss: 0.5695 - categorical_accuracy: 0.8300
Epoch 37/150
1/20 [>.............................] - ETA: 0s - loss: 0.6663 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.5622 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.5622 - categorical_accuracy: 0.8300
Epoch 38/150
1/20 [>.............................] - ETA: 0s - loss: 0.7551 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 998us/step - loss: 0.5545 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5545 - categorical_accuracy: 0.8200
Epoch 39/150
1/20 [>.............................] - ETA: 0s - loss: 0.6003 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 900us/step - loss: 0.5478 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5478 - categorical_accuracy: 0.8200
Epoch 40/150
1/20 [>.............................] - ETA: 0s - loss: 0.2359 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 950us/step - loss: 0.5411 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5411 - categorical_accuracy: 0.8200
Epoch 41/150
1/20 [>.............................] - ETA: 0s - loss: 0.3870 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.5346 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5346 - categorical_accuracy: 0.8200
Epoch 42/150
1/20 [>.............................] - ETA: 0s - loss: 0.5513 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 900us/step - loss: 0.5286 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5286 - categorical_accuracy: 0.8200
Epoch 43/150
1/20 [>.............................] - ETA: 0s - loss: 0.4585 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.5228 - categorical_accuracy: 0.8200
20/20 [==============================] - 0s 15ms/step - loss: 0.5228 - categorical_accuracy: 0.8200
Epoch 44/150
1/20 [>.............................] - ETA: 0s - loss: 0.7477 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 999us/step - loss: 0.5170 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.5170 - categorical_accuracy: 0.8300
Epoch 45/150
1/20 [>.............................] - ETA: 0s - loss: 0.5692 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.5115 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.5115 - categorical_accuracy: 0.8300
Epoch 46/150
1/20 [>.............................] - ETA: 0s - loss: 0.5065 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.5065 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 16ms/step - loss: 0.5065 - categorical_accuracy: 0.8300
Epoch 47/150
1/20 [>.............................] - ETA: 0s - loss: 0.4224 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.5014 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.5014 - categorical_accuracy: 0.8300
Epoch 48/150
1/20 [>.............................] - ETA: 0s - loss: 0.9789 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 950us/step - loss: 0.4965 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4965 - categorical_accuracy: 0.8300
Epoch 49/150
1/20 [>.............................] - ETA: 0s - loss: 0.6170 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 899us/step - loss: 0.4920 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4920 - categorical_accuracy: 0.8300
Epoch 50/150
1/20 [>.............................] - ETA: 0s - loss: 0.6112 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4874 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4874 - categorical_accuracy: 0.8300
Epoch 51/150
1/20 [>.............................] - ETA: 0s - loss: 0.8611 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.4831 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4831 - categorical_accuracy: 0.8300
Epoch 52/150
1/20 [>.............................] - ETA: 0s - loss: 0.5955 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4789 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4789 - categorical_accuracy: 0.8300
Epoch 53/150
1/20 [>.............................] - ETA: 0s - loss: 0.4680 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4747 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 16ms/step - loss: 0.4747 - categorical_accuracy: 0.8300
Epoch 54/150
1/20 [>.............................] - ETA: 0s - loss: 0.4483 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.4708 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4708 - categorical_accuracy: 0.8300
Epoch 55/150
1/20 [>.............................] - ETA: 0s - loss: 0.5396 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1000us/step - loss: 0.4669 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4669 - categorical_accuracy: 0.8300
Epoch 56/150
1/20 [>.............................] - ETA: 0s - loss: 0.3694 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.4633 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4633 - categorical_accuracy: 0.8300
Epoch 57/150
1/20 [>.............................] - ETA: 0s - loss: 0.7669 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 899us/step - loss: 0.4596 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4596 - categorical_accuracy: 0.8300
Epoch 58/150
1/20 [>.............................] - ETA: 0s - loss: 0.4091 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4561 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4561 - categorical_accuracy: 0.8300
Epoch 59/150
1/20 [>.............................] - ETA: 0s - loss: 0.2888 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1000us/step - loss: 0.4527 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4527 - categorical_accuracy: 0.8300
Epoch 60/150
1/20 [>.............................] - ETA: 0s - loss: 0.4993 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.4495 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4495 - categorical_accuracy: 0.8300
Epoch 61/150
1/20 [>.............................] - ETA: 0s - loss: 0.5064 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 900us/step - loss: 0.4461 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4461 - categorical_accuracy: 0.8300
Epoch 62/150
1/20 [>.............................] - ETA: 0s - loss: 0.4190 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4429 - categorical_accuracy: 0.8300
20/20 [==============================] - 0s 15ms/step - loss: 0.4429 - categorical_accuracy: 0.8300
Epoch 63/150
1/20 [>.............................] - ETA: 0s - loss: 0.1694 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.4400 - categorical_accuracy: 0.8400
20/20 [==============================] - 0s 16ms/step - loss: 0.4400 - categorical_accuracy: 0.8400
Epoch 64/150
1/20 [>.............................] - ETA: 0s - loss: 0.1264 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 849us/step - loss: 0.4370 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 15ms/step - loss: 0.4370 - categorical_accuracy: 0.8500
Epoch 65/150
1/20 [>.............................] - ETA: 0s - loss: 0.4348 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4339 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 15ms/step - loss: 0.4339 - categorical_accuracy: 0.8500
Epoch 66/150
1/20 [>.............................] - ETA: 0s - loss: 0.4848 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.4311 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 15ms/step - loss: 0.4311 - categorical_accuracy: 0.8500
Epoch 67/150
1/20 [>.............................] - ETA: 0s - loss: 0.6847 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 899us/step - loss: 0.4282 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 15ms/step - loss: 0.4282 - categorical_accuracy: 0.8500
Epoch 68/150
1/20 [>.............................] - ETA: 0s - loss: 0.2951 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 850us/step - loss: 0.4255 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 16ms/step - loss: 0.4255 - categorical_accuracy: 0.8500
Epoch 69/150
1/20 [>.............................] - ETA: 0s - loss: 0.7108 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 1ms/step - loss: 0.4230 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 16ms/step - loss: 0.4230 - categorical_accuracy: 0.8500
Epoch 70/150
1/20 [>.............................] - ETA: 0s - loss: 0.5355 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 899us/step - loss: 0.4203 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 15ms/step - loss: 0.4203 - categorical_accuracy: 0.8500
Epoch 71/150
1/20 [>.............................] - ETA: 0s - loss: 0.4212 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.4177 - categorical_accuracy: 0.8500
20/20 [==============================] - 0s 23ms/step - loss: 0.4177 - categorical_accuracy: 0.8500
Epoch 72/150
1/20 [>.............................] - ETA: 0s - loss: 0.1605 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.4151 - categorical_accuracy: 0.8600
20/20 [==============================] - 0s 15ms/step - loss: 0.4151 - categorical_accuracy: 0.8600
Epoch 73/150
1/20 [>.............................] - ETA: 0s - loss: 0.3522 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.4126 - categorical_accuracy: 0.8600
20/20 [==============================] - 0s 15ms/step - loss: 0.4126 - categorical_accuracy: 0.8600
Epoch 74/150
1/20 [>.............................] - ETA: 0s - loss: 0.3686 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.4103 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.4103 - categorical_accuracy: 0.8700
Epoch 75/150
1/20 [>.............................] - ETA: 0s - loss: 0.3873 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 949us/step - loss: 0.4079 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.4079 - categorical_accuracy: 0.8700
Epoch 76/150
1/20 [>.............................] - ETA: 0s - loss: 0.2175 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.4054 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.4054 - categorical_accuracy: 0.8700
Epoch 77/150
1/20 [>.............................] - ETA: 0s - loss: 0.3096 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.4032 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.4032 - categorical_accuracy: 0.8700
Epoch 78/150
1/20 [>.............................] - ETA: 0s - loss: 0.5098 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 948us/step - loss: 0.4008 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.4008 - categorical_accuracy: 0.8700
Epoch 79/150
1/20 [>.............................] - ETA: 0s - loss: 0.5410 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3989 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3989 - categorical_accuracy: 0.8700
Epoch 80/150
1/20 [>.............................] - ETA: 0s - loss: 0.1310 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 950us/step - loss: 0.3967 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3967 - categorical_accuracy: 0.8700
Epoch 81/150
1/20 [>.............................] - ETA: 0s - loss: 0.5188 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.3944 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3944 - categorical_accuracy: 0.8700
Epoch 82/150
1/20 [>.............................] - ETA: 0s - loss: 0.5850 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3922 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3922 - categorical_accuracy: 0.8700
Epoch 83/150
1/20 [>.............................] - ETA: 0s - loss: 0.5157 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3902 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3902 - categorical_accuracy: 0.8700
Epoch 84/150
1/20 [>.............................] - ETA: 0s - loss: 0.4535 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3881 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3881 - categorical_accuracy: 0.8700
Epoch 85/150
1/20 [>.............................] - ETA: 0s - loss: 0.3374 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3860 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3860 - categorical_accuracy: 0.8700
Epoch 86/150
1/20 [>.............................] - ETA: 0s - loss: 0.5186 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.3841 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3841 - categorical_accuracy: 0.8700
Epoch 87/150
1/20 [>.............................] - ETA: 0s - loss: 0.5354 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3822 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3822 - categorical_accuracy: 0.8700
Epoch 88/150
1/20 [>.............................] - ETA: 0s - loss: 0.2941 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3802 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3802 - categorical_accuracy: 0.8700
Epoch 89/150
1/20 [>.............................] - ETA: 0s - loss: 0.5990 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 950us/step - loss: 0.3783 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3783 - categorical_accuracy: 0.8700
Epoch 90/150
1/20 [>.............................] - ETA: 0s - loss: 0.1228 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3763 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3763 - categorical_accuracy: 0.8700
Epoch 91/150
1/20 [>.............................] - ETA: 0s - loss: 0.3560 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3748 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3748 - categorical_accuracy: 0.8700
Epoch 92/150
1/20 [>.............................] - ETA: 0s - loss: 0.5074 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3726 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3726 - categorical_accuracy: 0.8700
Epoch 93/150
1/20 [>.............................] - ETA: 0s - loss: 0.2270 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 949us/step - loss: 0.3710 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3710 - categorical_accuracy: 0.8700
Epoch 94/150
1/20 [>.............................] - ETA: 0s - loss: 0.2151 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 850us/step - loss: 0.3691 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3691 - categorical_accuracy: 0.8700
Epoch 95/150
1/20 [>.............................] - ETA: 0s - loss: 0.6069 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3672 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3672 - categorical_accuracy: 0.8700
Epoch 96/150
1/20 [>.............................] - ETA: 0s - loss: 0.4966 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3656 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3656 - categorical_accuracy: 0.8700
Epoch 97/150
1/20 [>.............................] - ETA: 0s - loss: 0.6261 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 899us/step - loss: 0.3638 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3638 - categorical_accuracy: 0.8700
Epoch 98/150
1/20 [>.............................] - ETA: 0s - loss: 0.1075 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.3621 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 16ms/step - loss: 0.3621 - categorical_accuracy: 0.8700
Epoch 99/150
1/20 [>.............................] - ETA: 0s - loss: 0.3553 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 949us/step - loss: 0.3604 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3604 - categorical_accuracy: 0.8700
Epoch 100/150
1/20 [>.............................] - ETA: 0s - loss: 0.1432 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.3587 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 14ms/step - loss: 0.3587 - categorical_accuracy: 0.8700
Epoch 101/150
1/20 [>.............................] - ETA: 0s - loss: 0.1564 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 879us/step - loss: 0.3571 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3571 - categorical_accuracy: 0.8700
Epoch 102/150
1/20 [>.............................] - ETA: 0s - loss: 0.3943 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3554 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3554 - categorical_accuracy: 0.8700
Epoch 103/150
1/20 [>.............................] - ETA: 0s - loss: 0.2152 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.3538 - categorical_accuracy: 0.8700
20/20 [==============================] - 0s 15ms/step - loss: 0.3538 - categorical_accuracy: 0.8700
Epoch 104/150
1/20 [>.............................] - ETA: 0s - loss: 0.4502 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 900us/step - loss: 0.3522 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 16ms/step - loss: 0.3522 - categorical_accuracy: 0.8800
Epoch 105/150
1/20 [>.............................] - ETA: 0s - loss: 0.4755 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3505 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3505 - categorical_accuracy: 0.8800
Epoch 106/150
1/20 [>.............................] - ETA: 0s - loss: 0.4722 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3490 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3490 - categorical_accuracy: 0.8800
Epoch 107/150
1/20 [>.............................] - ETA: 0s - loss: 0.3718 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.3474 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3474 - categorical_accuracy: 0.8800
Epoch 108/150
1/20 [>.............................] - ETA: 0s - loss: 0.6108 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 1ms/step - loss: 0.3459 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 16ms/step - loss: 0.3459 - categorical_accuracy: 0.8800
Epoch 109/150
1/20 [>.............................] - ETA: 0s - loss: 0.3260 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3444 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3444 - categorical_accuracy: 0.8800
Epoch 110/150
1/20 [>.............................] - ETA: 0s - loss: 0.2350 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3428 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3428 - categorical_accuracy: 0.8800
Epoch 111/150
1/20 [>.............................] - ETA: 0s - loss: 0.2424 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3412 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 16ms/step - loss: 0.3412 - categorical_accuracy: 0.8800
Epoch 112/150
1/20 [>.............................] - ETA: 0s - loss: 0.4480 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 849us/step - loss: 0.3398 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3398 - categorical_accuracy: 0.8800
Epoch 113/150
1/20 [>.............................] - ETA: 0s - loss: 0.6439 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 899us/step - loss: 0.3383 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3383 - categorical_accuracy: 0.8800
Epoch 114/150
1/20 [>.............................] - ETA: 0s - loss: 0.5820 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 900us/step - loss: 0.3369 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3369 - categorical_accuracy: 0.8800
Epoch 115/150
1/20 [>.............................] - ETA: 0s - loss: 0.4741 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.3353 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 16ms/step - loss: 0.3353 - categorical_accuracy: 0.8800
Epoch 116/150
1/20 [>.............................] - ETA: 0s - loss: 0.5493 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3339 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3339 - categorical_accuracy: 0.8800
Epoch 117/150
1/20 [>.............................] - ETA: 0s - loss: 0.2732 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 950us/step - loss: 0.3325 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3325 - categorical_accuracy: 0.8800
Epoch 118/150
1/20 [>.............................] - ETA: 0s - loss: 0.2764 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.3310 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3310 - categorical_accuracy: 0.8800
Epoch 119/150
1/20 [>.............................] - ETA: 0s - loss: 0.4590 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3297 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3297 - categorical_accuracy: 0.8800
Epoch 120/150
1/20 [>.............................] - ETA: 0s - loss: 0.4871 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 900us/step - loss: 0.3282 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3282 - categorical_accuracy: 0.8800
Epoch 121/150
1/20 [>.............................] - ETA: 0s - loss: 0.4027 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3274 - categorical_accuracy: 0.8800
20/20 [==============================] - 0s 15ms/step - loss: 0.3274 - categorical_accuracy: 0.8800
Epoch 122/150
1/20 [>.............................] - ETA: 0s - loss: 0.2966 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.3254 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 14ms/step - loss: 0.3254 - categorical_accuracy: 0.8900
Epoch 123/150
1/20 [>.............................] - ETA: 0s - loss: 0.6869 - categorical_accuracy: 0.6000
20/20 [==============================] - 0s 899us/step - loss: 0.3240 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 15ms/step - loss: 0.3240 - categorical_accuracy: 0.8900
Epoch 124/150
1/20 [>.............................] - ETA: 0s - loss: 0.5099 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 900us/step - loss: 0.3228 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 15ms/step - loss: 0.3228 - categorical_accuracy: 0.8900
Epoch 125/150
1/20 [>.............................] - ETA: 0s - loss: 0.3373 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.3214 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 15ms/step - loss: 0.3214 - categorical_accuracy: 0.8900
Epoch 126/150
1/20 [>.............................] - ETA: 0s - loss: 0.3007 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.3200 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 15ms/step - loss: 0.3200 - categorical_accuracy: 0.8900
Epoch 127/150
1/20 [>.............................] - ETA: 0s - loss: 0.2923 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.3186 - categorical_accuracy: 0.8900
20/20 [==============================] - 0s 16ms/step - loss: 0.3186 - categorical_accuracy: 0.8900
Epoch 128/150
1/20 [>.............................] - ETA: 0s - loss: 0.5162 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3173 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.3173 - categorical_accuracy: 0.9100
Epoch 129/150
1/20 [>.............................] - ETA: 0s - loss: 0.2486 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.3160 - categorical_accuracy: 0.9200
20/20 [==============================] - 0s 14ms/step - loss: 0.3160 - categorical_accuracy: 0.9200
Epoch 130/150
1/20 [>.............................] - ETA: 0s - loss: 0.4068 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.3148 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.3148 - categorical_accuracy: 0.9100
Epoch 131/150
1/20 [>.............................] - ETA: 0s - loss: 0.2719 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3134 - categorical_accuracy: 0.9200
20/20 [==============================] - 0s 15ms/step - loss: 0.3134 - categorical_accuracy: 0.9200
Epoch 132/150
1/20 [>.............................] - ETA: 0s - loss: 0.3908 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 949us/step - loss: 0.3122 - categorical_accuracy: 0.9200
20/20 [==============================] - 0s 15ms/step - loss: 0.3122 - categorical_accuracy: 0.9200
Epoch 133/150
1/20 [>.............................] - ETA: 0s - loss: 0.1872 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 899us/step - loss: 0.3110 - categorical_accuracy: 0.9200
20/20 [==============================] - 0s 15ms/step - loss: 0.3110 - categorical_accuracy: 0.9200
Epoch 134/150
1/20 [>.............................] - ETA: 0s - loss: 0.3690 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.3096 - categorical_accuracy: 0.9200
20/20 [==============================] - 0s 15ms/step - loss: 0.3096 - categorical_accuracy: 0.9200
Epoch 135/150
1/20 [>.............................] - ETA: 0s - loss: 0.0857 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3083 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.3083 - categorical_accuracy: 0.9100
Epoch 136/150
1/20 [>.............................] - ETA: 0s - loss: 0.7575 - categorical_accuracy: 0.4000
20/20 [==============================] - 0s 899us/step - loss: 0.3071 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.3071 - categorical_accuracy: 0.9100
Epoch 137/150
1/20 [>.............................] - ETA: 0s - loss: 0.1244 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.3057 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.3057 - categorical_accuracy: 0.9100
Epoch 138/150
1/20 [>.............................] - ETA: 0s - loss: 0.1868 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 999us/step - loss: 0.3046 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.3046 - categorical_accuracy: 0.9100
Epoch 139/150
1/20 [>.............................] - ETA: 0s - loss: 0.1200 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3032 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.3032 - categorical_accuracy: 0.9100
Epoch 140/150
1/20 [>.............................] - ETA: 0s - loss: 0.2052 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 950us/step - loss: 0.3020 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.3020 - categorical_accuracy: 0.9100
Epoch 141/150
1/20 [>.............................] - ETA: 0s - loss: 0.3182 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1ms/step - loss: 0.3009 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.3009 - categorical_accuracy: 0.9100
Epoch 142/150
1/20 [>.............................] - ETA: 0s - loss: 0.6025 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.2996 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.2996 - categorical_accuracy: 0.9100
Epoch 143/150
1/20 [>.............................] - ETA: 0s - loss: 0.5513 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 999us/step - loss: 0.2987 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 23ms/step - loss: 0.2987 - categorical_accuracy: 0.9100
Epoch 144/150
1/20 [>.............................] - ETA: 0s - loss: 0.2904 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.2972 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.2972 - categorical_accuracy: 0.9100
Epoch 145/150
1/20 [>.............................] - ETA: 0s - loss: 0.2038 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 1000us/step - loss: 0.2960 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.2960 - categorical_accuracy: 0.9100
Epoch 146/150
1/20 [>.............................] - ETA: 0s - loss: 0.2101 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 949us/step - loss: 0.2948 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.2948 - categorical_accuracy: 0.9100
Epoch 147/150
1/20 [>.............................] - ETA: 0s - loss: 0.3084 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1ms/step - loss: 0.2938 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.2938 - categorical_accuracy: 0.9100
Epoch 148/150
1/20 [>.............................] - ETA: 0s - loss: 0.0841 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 849us/step - loss: 0.2926 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 15ms/step - loss: 0.2926 - categorical_accuracy: 0.9100
Epoch 149/150
1/20 [>.............................] - ETA: 0s - loss: 0.1543 - categorical_accuracy: 1.0000
20/20 [==============================] - 0s 900us/step - loss: 0.2913 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.2913 - categorical_accuracy: 0.9100
Epoch 150/150
1/20 [>.............................] - ETA: 0s - loss: 0.4086 - categorical_accuracy: 0.8000
20/20 [==============================] - 0s 1000us/step - loss: 0.2902 - categorical_accuracy: 0.9100
20/20 [==============================] - 0s 16ms/step - loss: 0.2902 - categorical_accuracy: 0.9100 #affichage des coefficients des fonctions de classement
get_weights(clf)[[1]]
[,1] [,2] [,3]
[1,] -1.0497619 0.3409576 0.6688545
[2,] 0.9783976 -0.6021847 0.1458578
[3,] -0.6815064 -0.5172638 0.5994269
[4,] -1.5415022 -0.0309065 0.9494050
[[2]]
[1] -0.5488543 0.6100321 -0.3406035#centrage réduction avec les param. de l'éch. d'app.
ZTest <- scale(DTest[,1:4],center=attr(ZTrain,'scaled:center'),scale=attr(ZTrain,'scaled:scale'))
print(head(ZTest)) Sepal.Length Sepal.Width Petal.Length Petal.Width
1 -0.9067672 0.9377975 -1.325155 -1.311320
3 -1.3790418 0.2954704 -1.380904 -1.311320
7 -1.4971105 0.7236885 -1.325155 -1.183386
11 -0.5525613 1.3660155 -1.269406 -1.311320
12 -1.2609732 0.7236885 -1.213657 -1.311320
21 -0.5525613 0.7236885 -1.157908 -1.311320#appel de prédict
predProba <- clf %>% predict(ZTest)
head(predProba) [,1] [,2] [,3]
[1,] 0.9769587 0.02223093 0.0008103772
[2,] 0.9681911 0.03124197 0.0005668973
[3,] 0.9827694 0.01674477 0.0004857926
[4,] 0.9801548 0.01872154 0.0011237342
[5,] 0.9799248 0.01946552 0.0006096366
[6,] 0.9470140 0.05084803 0.0021379453#identifier l'id du max dans chaque ligne
predClasses <- apply(predProba,1,function(v){which.max(v)})
#transformer en prédiction - Species d'iris
predClasses <- factor(predClasses)
levels(predClasses) <- levels(iris$Species)
#vérfication
head(predClasses)[1] setosa setosa setosa setosa setosa setosa
Levels: setosa versicolor virginica#matrice de confusion
mc <- table(DTest$Species,predClasses)
print(mc) predClasses
setosa versicolor virginica
setosa 17 0 0
versicolor 0 13 3
virginica 0 3 14#taux d'erreur
err <- 1 - sum(diag(mc))/sum(mc)
print(err)[1] 0.12