Скачать или смотреть Sum Operations in PyTorch – .sum(), .nansum(), .cumsum(), .cumprod() ,keepdim| Ali Hassan

In this PyTorch tutorial, we will explore Sum Operations in detail. You’ll learn how to use .sum() for reducing tensors, .nansum() to handle NaN values safely, .cumsum() for cumulative sums across dimensions, and .cumprod() for cumulative products. I’ll also explain the keepdim parameter and how it affects tensor shapes during reduction operations. This video is perfect for beginners who want to deeply understand PyTorch’s sum functions and how they are used in real deep learning workflows. After watching this, you’ll be able to confidently perform summation tasks on tensors of any shape with proper dimension handling.
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