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  1. Learn how to use PyTorch, an optimized tensor library for deep learning using GPUs and CPUs. Browse the features, modules, language bindings, and tutorials for PyTorch 2.4.

  2. pytorch.orgPyTorch

    Run PyTorch locally or get started quickly with one of the supported cloud platforms. Tutorials. Whats new in PyTorch tutorials. Learn the Basics. Familiarize yourself with PyTorch concepts and modules. PyTorch Recipes. Bite-size, ready-to-deploy PyTorch code examples. Intro to PyTorch - YouTube Series

  3. PyTorch Tutorials provides bite-size, ready-to-deploy PyTorch code examples and a step-by-step guide to building a complete ML workflow with PyTorch. Explore topics such as data loading, neural networks, parallel and distributed training, TensorBoard, and more.

  4. To create a tensor with pre-existing data, use torch.tensor(). To create a tensor with specific size, use torch.* tensor creation ops (see Creation Ops). To create a tensor with the same size (and similar types) as another tensor, use torch.*_like tensor creation ops (see Creation Ops).

  5. torch. Shortcuts. torch ¶. The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities.

  6. This tutorial introduces you to a complete ML workflow implemented in PyTorch, using the FashionMNIST dataset to train a neural network. You can run the tutorial in the cloud or locally, and learn about tensors, datasets, transforms, models, optimization, and more.

  7. PyTorch Documentation . Pick a version. main (unstable) v2.5.0 (release candidate) v2.4.0 (stable) v2.3.0

  1. Wyszukiwania związane z pytorch docs

    pytorch docs data_transform