How to Explain Deep Learning using Chaos and Complexity
Carlos E. Perez

Thanks to share this post !

Please confirm with me if the new answer to also check is the Regularization process.

How can we know when machines are bad or good? The old answer is to compute the loss function. The new answer is to also compute the mutual information as a function of separation, which can immediately show how well the model is doing at capturing correlations on different scales.
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