0cfe82c6beb9a28a5ff7da81b86fa0e93c388f14,tasks/save_reload_model.py,,,#,10

Before Change

        kernel_size=6,
        dilations=[1, 2, 4])(x)
x = Dropout(0.5)(x)  // and dropout here.
x = Dense(1, activation="sigmoid")(x)

model = Model(inputs=[i], outputs=[x])

if os.path.exists("tcn.npz"):

After Change

max_features = 50

// make model
model = Sequential(layers=[Embedding(max_features, 16, input_shape=(max_len,)),
                           TCN(nb_filters=12,
                               dropout_rate=0.5,
                               kernel_size=6,

Instances