7f0ae42983727c049b2e67bff7125e5b12773bfd,examples/visualize_optimization_gif.py,,generate_opt_gif,#,10

Before Change

    // The name of the layer we want to visualize
    // (see model definition in vggnet.py)
    layer_name = "predictions"
    layer_dict = dict([(layer.name, layer) for layer in model.layers[1:]])
    output_class = [20]

    losses = [
        (ActivationMaximization(layer_dict[layer_name], output_class), 2),

After Change

    // The name of the layer we want to visualize
    // (see model definition in vggnet.py)
    layer_name = "predictions"
    layer_idx = [idx for idx, layer in enumerate(model.layers) if layer.name == layer_name][0]
    output_class = [20]

    optimizer_params = {

Instances