[MLP] Simple MLP example #python #tensorflow

mlp.py

model = Sequential()

model.add(Dense(256, input_shape=(40, )))
model.add(Acitivation('relu'))
model.add(Dropout(0.5))

model.add(Dense(256))
model.add(Activation('relu'))
model.add(Dropout(0.5))

model.add(Dense(num_labels))
model.add(Activation('softmax'))

# Compile the model
model.compile(loss='categorical_crossentropy', 
              metrics=['accuracy'], optimizer='adam')