Lecture 5 | Convergence, Learning Rates, and Gradient Descent

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