Lecture 6 | Convergence, Loss Surfaces, and Optimization

Carnegie Mellon University
Course: 11-785, Intro to Deep Learning
Offering: Fall 2019

For more information, please visit: http://deeplearning.cs.cmu.edu/

Contents:
• Convergence in neural networks
• Rates of convergence
• Loss surfaces
• Learning rates, and optimization methods
• RMSProp, Adagrad, Momentum

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