![]() ![]() In this article, we review useful dark magic tricks, accompanied by examples and use-cases. Training regimes, regularization schemes, an d architecture enhancements are crucial for effective deep learning. We will also compile an optimization scheme, called “checklist testing”, that can be used to upgrade any existing deep learning repository. In this article, we’ll review useful tricks in deep learning, including training regimes, regularization schemes, and architecture enhancements, with examples and use-cases. ![]()
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