93788e1d5e26f328c6fd2840e306e577c106673c,ann_architectures/imagenet/vgg16.py,,get_vgg16,#,25

Before Change

    model.add(Activation("relu"))
    model.add(Convolution2D(512, 3, 3, border_mode="same",
                            name="block5_conv2"))
    model.add(Activation("relu"))
    model.add(AveragePooling2D(name="block5_pool"))

    // Classification block
    model.add(Flatten(name="flatten"))

After Change

                            name="block4_conv1", activation="relu"))
    model.add(Convolution2D(512, 3, 3, border_mode="same",
                            name="block4_conv2", activation="relu"))
    model.add(Convolution2D(512, 3, 3, border_mode="same",
                            name="block4_conv3", activation="relu"))
    model.add(MaxPooling2D(name="block4_pool"))

    // Block 5

Instances