How to use keras layers in custom keras layer

Question

I am trying to write my own keras layer. In this layer, I want to use some other keras layers. Is there any way to do something like this:

class MyDenseLayer(tf.         


        

Answer 1

It's much more comfortable and concise to put existing layers in the tf.keras.models.Model class. If you define non-custom layers such as layers, conv2d, the parameters of those layers are not trainable by default.

class MyDenseLayer(tf.keras.Model):
  def __init__(self, num_outputs):
    super(MyDenseLayer, self).__init__()
    self.num_outputs = num_outputs
    self.fc = tf.keras.layers.Dense(num_outputs)

  def call(self, input):
    return self.fc(input)

  def compute_output_shape(self, input_shape):
    shape = tf.TensorShape(input_shape).as_list()
    shape[-1] = self.num_outputs
    return tf.TensorShape(shape)

layer = MyDenseLayer(10)

Check this tutorial: https://www.tensorflow.org/guide/keras#model_subclassing