Updates

Models/model_lenet5.py

@@ -94,10 +94,10 @@ model.compile(loss='binary_crossentropy',optimizer=optimizer,metrics=['accuracy'
 history=model.fit(train_ds, epochs=epochs, validation_data=val_ds,callbacks=[tensorboard,checkpointer,early_stopping])
 
 # plot the learning curves
-pyplot.plot(history.history['accuracy'],label='train')
-pyplot.plot(history.history['val_accuracy'],label='validation')
-pyplot.legend()
-pyplot.show()
+# pyplot.plot(history.history['accuracy'],label='train')
+# pyplot.plot(history.history['val_accuracy'],label='validation')
+# pyplot.legend()
+# pyplot.show()