Can someone please give an intuitive explanation of the difference between the Iterative Hard Thresholding VS Iterative Soft thresholding algorithm?
And if we can use these algorithms in an autoencoder with a non-linear activation function?
Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.
Sign up to join this communityCan someone please give an intuitive explanation of the difference between the Iterative Hard Thresholding VS Iterative Soft thresholding algorithm?
And if we can use these algorithms in an autoencoder with a non-linear activation function?