How can I debug gradient descent in my machine learning model?

How can I debug gradient descent in my machine learning model?

Debugging gradient descent involves checking your learning rate, loss function, and data preprocessing. What specific issue are you facing?

My model's loss isn't decreasing. What should I look into?

First, check if your learning rate is too high or too low. A high learning rate can cause divergence, while a low one can slow down convergence.

I've tried adjusting the learning rate, but it still doesn't work. Any other suggestions?

Make sure your data is normalized and that there are no outliers. Also, verify that your loss function is appropriate for your problem.

Thanks! I'll check those. What if the gradients are vanishing?

If you're facing vanishing gradients, consider using activation functions like ReLU or techniques like batch normalization to help mitigate the issue.