learn.py 文件源码

def m6_1():
    model.add(Convolution2D(32, 3, 3, init=my_init, input_shape=input_shape))
    model.add(Activation('relu'))
    model.add(Convolution2D(32, 3, 3, init=my_init))
    model.add(Activation('relu'))
    model.add(MaxPooling2D(pool_size=(2, 2)))
    model.add(Dropout(0.5))

    model.add(Convolution2D(64, 3, 3, init=my_init))
    model.add(Activation('relu'))
    model.add(Convolution2D(64, 3, 3, init=my_init))
    model.add(Activation('relu'))
    model.add(MaxPooling2D(pool_size=(2, 2)))
    model.add(Dropout(0.5))

    model.add(Flatten())
    model.add(Dense(256, init=my_init))
    model.add(Activation('relu'))
    model.add(Dropout(0.5))
    model.add(Dense(nb_classes))
    model.add(Activation('softmax'))