All Katas - ML Katas

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Implementing Dropout

yesterday medium (<30 mins) | dropout regularization jax deep-learning

Implement the dropout regularization technique in JAX. This involves randomly setting a fraction of input units to 0 at each update during training time. Remember that dropout should only be...
Implement Dropout Manually

this month medium (<1 hr) | pytorch implementation dropout regularization

Implement dropout as a function `my_dropout(x, p)`: - Zero out elements of `x` with probability `p`. - Scale survivors by $$1/(1-p)$$. - Ensure deterministic behavior when `torch.manual_seed` is...