All Katas - ML Katas

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Implementing a Custom Loss Function with `torch.autograd`

this month medium (<30 mins) | regression loss custom function huber

Create a **custom loss function** that inherits from `torch.nn.Module` and performs a non-standard calculation. For example, a custom Huber loss. This loss is less sensitive to outliers than Mean...
Implement a Custom Loss Function

this month medium (<30 mins) | pytorch loss functions regression implementation

Create a custom loss function called `MeanAbsolutePercentageError` (MAPE) in PyTorch. It should: 1. Take predictions and targets as input tensors. 2. Compute $$\frac{1}{n} \sum_i \frac{|y_i -...