641a28fbf0daff0ad1ad0f43d2c4b545cb6f9656,examples/basic_tutorials/1_mnist_mlp_eager_mode_model2layer.py,,get_model,#Any#,26

Before Change

    nn = Dropout(keep=0.8)(M_hidden.as_layer())
    nn = Dense(n_units=10, act=tf.nn.relu)(nn)
    M = Model(inputs=ni, outputs=nn, name="mlp")
    return M

MLP = get_model([None, 784])
// MLP.print_layers()

After Change

    nn = Dropout(keep=0.8)(M_hidden.as_layer())
    nn = Dense(n_units=10, act=tf.nn.relu)(nn)
    return Model(inputs=ni, outputs=nn, name="mlp")

MLP = get_model([None, 784])
// MLP.print_layers()

Instances