Category: Pytorch Tutorials

If you’re diving into deep learning with PyTorch, there’s one core building block you must understand — the torch.Tensor. This object is the heart of all computations in PyTorch, similar to arrays in NumPy, but with superpowers for GPU acceleration and automatic differentiation. Whether you’re manipulating data, performing matrix operations, or building deep learning models,…

If you’re learning deep learning with PyTorch, one of the most important modules you’ll encounter is torch.nn. This module forms the backbone of neural network creation in PyTorch. Whether you’re building a simple linear regression or a deep convolutional neural network, torch.nn helps manage the layers, activation functions, loss functions, and much more. In this…

Understanding torch.nn.functional: A Comprehensive Guide The torch.nn.functional module is a fundamental part of PyTorch, providing a collection of stateless functions for neural network operations. Unlike torch.nn, which contains classes with learnable parameters, torch.nn.functional (often imported as F) offers pure functions that perform computations without storing state. This makes it highly flexible for custom neural network implementations. What is torch.nn.functional? torch.nn.functional is a…