All Katas - ML Katas

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L2 Regularization Gradient

this year easy (<10 mins) | regularization gradient linear-regression calculus overfitting

L2 regularization (also known as Ridge Regression or weight decay) is a common technique to prevent overfitting in machine learning models by adding a penalty proportional to the square of the...
Implementing Gradient Clipping

this year easy (<10 mins) | rnn training gradient clipping stability

Implement **gradient clipping** in your training loop. This technique is used to prevent exploding gradients, which can be a problem in RNNs and other deep networks. After the backward pass...