A deep autoencoder is a stack of RBMs.
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 Softmax? The Softmax function converts predicted values to be between 0 and 1, ensuring that the sum of all predicted values is 1. For example, consider a CNN with predicted values. As ...
What is Gradient Descent? Gradient Descent is a method to minimize the cost $C$. The formula for the cost $C$ is: $\frac{1 \times (\hat{y}-y)^{2}}{2}$ The graph of $C$ is shown below. Let...
Stacked Autoencoder
Softmax
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