# π© Problems with Gradient Descent and the Fix

Learn about gradient descent issues and the ways to fix them.

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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