b106ef05680def54ba3ea46d45f49d649ee21205,innvestigate/utils/tests/networks/base.py,,mlp_2dense,#Any#Any#Any#Any#Any#,124

Before Change

                                 activation=activation,
                                 kernel_initializer="glorot_uniform")
    net["dense_1_dropout"] = dropout_layer(net["dense_1"], dropout_rate)
    net["dense_2"] = dense_layer(net["dense_1_dropout"], units=dense_units,
                                 activation=activation,
                                 kernel_initializer="glorot_uniform")
    net["dense_2_dropout"] = dropout_layer(net["dense_2"], dropout_rate)
    net["out"] = dense_layer(net["dense_2_dropout"], units=output_n,
                             activation="softmax",
                             kernel_initializer="glorot_uniform")

After Change

                                 activation=activation,
                                 kernel_initializer="glorot_uniform")
    net["dense_1_dropout"] = dropout_layer(net["dense_1"], dropout_rate)
    net["out"] = dense_layer(net["dense_1_dropout"], units=output_n,
                             activation="softmax",
                             kernel_initializer="glorot_uniform")

    net.update({
        "input_shape": input_shape,

Instances