July 2018
Intermediate to advanced
474 pages
13h 37m
English
The steps are as follows:
model = Sequential()model.add(Conv2D(16, (3, 3), input_shape=(128,150,1))) model.add(Activation('relu')) model.add(Conv2D(16, (3, 3))) model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2,2))) model.add(Conv2D(16,(3, 3))) model.add(Activation('relu'))model.add(MaxPooling2D(pool_size=(2,2))) model.add(Flatten()) model.add(Dense(512))model.add(Activation('relu'))model.add(Dropout(0.25)) model.add(Dense(10))model.add(Activation('softmax'))
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