learn-regression.py 文件源码

def get_model(shape, dropout=0.5, path=None):
    print('building neural network')

    model=Sequential()

    model.add(Convolution2D(512, 3, 3, border_mode='same', input_shape=shape))
    model.add(Activation('relu'))
    model.add(Convolution2D(512, 3, 3, border_mode='same'))
    model.add(Activation('relu'))
    model.add(MaxPooling2D(pool_size=(2, 2)))
    model.add(SpatialDropout2D(dropout))

    model.add(Flatten())#input_shape=shape))
    # model.add(Dense(4096))
    # model.add(Activation('relu'))
    # model.add(Dropout(0.5))
    model.add(Dense(512))
    model.add(Activation('relu'))
    model.add(Dropout(0.5))

    model.add(Dense(1))
    #model.add(Activation('linear'))

    return model