The stacked autoencoder is an approach to train deep networks consisting of multiple layers trained using the greedy approach. An example of a stacked autoencoder is shown in the following diagram:
An example of a stacked autoencoder
The stacked autoencoder is an approach to train deep networks consisting of multiple layers trained using the greedy approach. An example of a stacked autoencoder is shown in the following diagram: