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In this video, you’ll learn how Adam makes gradient descent faster, smoother, and more reliable by combining the strengths of Momentum and RMSProp into a single optimizer. We’ll see how Adam uses moving averages of both gradients and squared gradients, how the beta parameters control responsiveness, and why bias correction is needed to ...
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