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Grokking Deep Learning
book

Grokking Deep Learning

by Andrew W. Trask
February 2019
Intermediate to advanced content levelIntermediate to advanced
336 pages
9h 29m
English
Manning Publications
Content preview from Grokking Deep Learning

Chapter 5. Learning multiple weights at a time: generalizing gradient descent

In this chapter

  • Gradient descent learning with multiple inputs
  • Freezing one weight: what does it do?
  • Gradient descent learning with multiple outputs
  • Gradient descent learning with multiple inputs and outputs
  • Visualizing weight values
  • Visualizing dot products

“You don’t learn to walk by following rules. You learn by doing and by falling over.”

Richard Branson, http://mng.bz/oVgd

Gradient descent learning with multiple inputs

Gradient descent also works with multiple inputs

In the preceding chapter, you learned how to use gradient descent to update a weight. In this chapter, we’ll more or less reveal how the same techniques can be used to update a network that ...

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