Appendix C: Key PyTorch Libraries (torchvision, torchtext, torchaudio)
Abstract: Below is Appendix C: Key PyTorch Libraries (torchvision, torchtext, torchaudio) , written in a complete, structured, and student-friendly manner suitable for PyTorch book. Appendix C: Key PyTorch Libraries (torchvision, torchtext, torchaudio) PyTorch provides a powerful core framework for tensor operations, automatic differentiation, and building deep learning models. However, most real-world machine learning tasks involve working with specialized data types such as images, text, and audio. To simplify this, PyTorch includes three companion libraries: torchvision – for image data, image models, and transformations torchtext – for text preprocessing, datasets, and embeddings torchaudio – for audio loading, preprocessing, and speech applications These libraries provide optimized data utilities, pretrained models, and industry-ready pipelines that make it easier to build end-to-end ML workflows. C.1 torchvision – Computer Vision with PyTorch torc...