IntensityMatchSiameseMixed.py 文件源码

def create_cnn_network(input_dim):
    '''Base network to be shared (eq. to feature extraction).
    '''
    seq = Sequential()
    nb_filter = [12, 6]
    kern_size = 3

    # conv layers
    seq.add(Convolution3D(nb_filter[0], kern_size, kern_size, kern_size, input_shape=input_dim,
                          border_mode='valid', dim_ordering='th', activation='relu'))
    # seq.add(MaxPooling3D(pool_size=(2, 2, 2)))  # downsample
    seq.add(Dropout(.25))

    # conv layer 2
    # seq.add(Convolution3D(nb_filter[1], kern_size, kern_size, kern_size, border_mode='valid', dim_ordering='th',
    #                       activation='relu'))
    # # seq.add(MaxPooling3D(pool_size=(2, 2, 2), dim_ordering='th'))  # downsample
    # seq.add(Dropout(.25))

    # dense layers
    seq.add(Flatten())
    seq.add(Dense(100, activation='relu'))
    seq.add(Dropout(0.2))
    seq.add(Dense(50, activation='relu'))
    return seq

# load data