In the previous assignment when we use Functional API to build a ConvNet, we use"tf.keras.layers.Conv2D(…)" to apply a filter.
In this assignment we just use " X = Conv2D(…)(X)"
can anyone help me to realize the difference between these two TensorFlow statements?