A Tutorial on Deep Learning Part 2: Autoencoders ...
1 Introduction In the previous tutorial, I discussed the use of deep networks to classify nonlinear data. In addition to their ability to handle nonlinear data, deep networks also have a special strength in their exibility which sets them apart from other tranditional machine learning models: we can modify them in many ways to suit our tasks.
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