๐Ÿ”ฉ Problems with Gradient Descent and the Fix

Gradient descent is the most optimal solution but it is not perfect. Take a look at its issues and see how we can fix them. This will allow us to improve our model and overcome these issues.

Problem 1: When the gradients are too large

A steeper slope tends to overshoot. Instead of converging, we begin to diverge further away from where we started. This overshooting leads to divergence.

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