Are there any hidden layers in the following model, or just Input and output layers?

问题

Are there any hidden layers in the following model, or just Input and output layers?

model = tf.keras.models.Sequential()
model.add(tf.keras.layers.Dense(1024, activation='relu', input_dim=1))
model.add(tf.keras.layers.Dense(1,))

回答1:

The first Dense layer is the hidden layer. Keras internally assigns an input layer for the model, with 1 input unit (the parameter of input_dim)

回答2:

there is one hidden dense layer with 1024 neuron and relu activation function.

can plot model with:

tf.keras.utils.plot_model(model, show_shapes=True)

来源：https://stackoverflow.com/questions/62300357/are-there-any-hidden-layers-in-the-following-model-or-just-input-and-output-lay