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Lecture 5 | Convergence, Learning Rates, and Gradient Descent

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Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2019 For more information, please visit: Contents: - Backpropagation (Backprop) - Backward propagation of gradients - Optimization Techniques - Convex Optimization

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