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Playground (Basecamp Overshooting)

Explore the concept of gradient descent in machine learning, focusing on how adjusting the learning rate affects optimization. Understand why too large a learning rate can cause overshooting, making the loss increase instead of decrease. This lesson helps you diagnose training issues and refine model training parameters effectively.

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Revision

Before we move on, let’s practice with the code for a little while. That’s optional, but it’s a good way to revise these concepts.

Go through all the codes which we have covered in this chapter by launching the below app:

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And now, prepare for a challenge.

Hands on

Let’s talk about the learning rate again. In the final example of this chapter, the learning rate was set to 0.001 ...