updated

Author: MorvanZhou

kerasTUT/5-classifier_example.py

@@ -46,7 +46,7 @@
 
 print('Training ------------')
 # Another way to train the model
-model.fit(X_train, y_train, epoch=2, batch_size=32)
+model.fit(X_train, y_train, epochs=2, batch_size=32)
 
 print('\nTesting ------------')
 # Evaluate the model with the metrics we defined earlier

kerasTUT/6-CNN_example.py

@@ -80,7 +80,7 @@
 
 print('Training ------------')
 # Another way to train the model
-model.fit(X_train, y_train, epoch=1, batch_size=32,)
+model.fit(X_train, y_train, epochs=1, batch_size=32,)
 
 print('\nTesting ------------')
 # Evaluate the model with the metrics we defined earlier

kerasTUT/9-Autoencoder_example.py

@@ -62,7 +62,7 @@
 
 # training
 autoencoder.fit(x_train, x_train,
-                nb_epoch=20,
+                epochs=20,
                 batch_size=256,
                 shuffle=True)