Flattening is the process of converting the pooled feature map created in pooling into the input layer of an ANN.
What is Contractive Autoencoder? A Contractive Autoencoder is a type of autoencoder designed to solve the problem of having more hidden nodes than input nodes. A Contractive Autoencoder uses the en...
What is Stacked Autoencoder? A Stacked Autoencoder is like an autoencoder with an additional hidden layer. That is, it involves two-step encoding and one-step decoding.
What is Deep Autoencoder? A deep autoencoder is a stack of RBMs.
Pooling
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