Question - What are deep autoencoders?
Answer -
Deep autoencoders are an extension of the regular autoencoders. Here, the first layer is responsible for the first-order function execution of the input. The second layer will take care of the second-order functions, and it goes on.
Usually, a deep autoencoder is a combination of two or more symmetrical deep-belief networks where:
- The first five shallow layers consist of the encoding part
- The other layers take care of the decoding part
On the next set of Deep Learning questions, let us look further into the topic.