Title | : | Neural networks [8.5] : Sparse coding - dictionary learning algorithm |
Lasting | : | 5.31 |
Date of publication | : | |
Views | : | 15 rb |
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Great Video!, even it was published some years ago, I can say it's still one of the few options available to understand this complex concepts in a grounded way Thanks Comment from : Javier Gutierrez |
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Maybe a stupid question: can't we parametrize h(x^t) with, say, a neural net? This way we learn the weights of the net through the h(x^t)'s By repeating using the h(x^t) in place of the x^t we could do pre-training of a multi-layer network (we drop D the same way we drop the decoder part when we do pre-training with autoencoders) Comment from : Kiuhnm Mnhuik |
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great video! Can you share your lectures' PPT? Comment from : Cuiqing Li |
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In previous video A was the outer product of the sparse representation together and B was the outer product of our input with sparse representation This video you have them switched, reasons? Comment from : kaleb smith |
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