Manio Bharae

Results 2 comments of Manio Bharae

I get similar error: model : model = Sequential() print 'input_shape', input_shape num_classes = 2 model.add(Conv2D(32, (5, 5), padding='same', data_format='channels_last', input_shape=input_shape)) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(Conv2D(32, (3, 3))) model.add(BatchNormalization()) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(3, 3)))...

@YichiHuang can you please share your code. I trying to learn too.