Lecture 3 | Learning, Empirical Risk Minimization, and Optimization
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YouTubeCarnegie Mellon University Deep Learning
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
17.8K viewsSep 4, 2019
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