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Lecture 3 | Learning, Empirical Risk Minimization, and Optimization
1:18:43
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
已浏览 1.8万 次2019年9月4日
Empirical Risk Minimization Examples
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5:42
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Project risk assessment: an example with a risk matrix template
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2019年1月1日
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已浏览 4.2万 次2021年1月5日
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已浏览 3万 次2018年7月11日
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Can ERM Cause Overfitting In Machine Learning?
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