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In this video, we explore Chapter 8 of the book Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This chapter reveals why training deep neural networks is fundamentally difficult and how optimization algorithms like gradient descent, momentum, and Adam actually work in practice. We discuss non-convex loss landscapes, saddle ...
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