Lecture 3 | Learning, Empirical Risk Minimization, 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:
• Training a neural network
• Perceptron learning rule
• Empirical Risk Minimization
• Optimization by gradient descent

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