Algorithm Regularization Deep Learning Chapter 5 Part 3

In this video, I discuss how "gradient descent" can be used to adjust the weights during back propagation in my "toy" JavaScript ... Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ... For more information about Stanford's online Artificial Intelligence programs visit: This lecture covers: 1.

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• In this video, I discuss how "gradient descent" can be used to adjust the weights during back propagation in my "toy" JavaScript ...
• Today we discuss some powerful techniques for improving training and avoiding over-fitting: - *Dropout*: remove activations at ...
• For more information about Stanford's online Artificial Intelligence programs visit: This lecture covers: 1.

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