PyTorch

PyTorch is a popular Python library for deep learning. It provides a multi-dimensional array similar to NumPy, but with the added advantage of being able to run on the GPU. It also provides a way to automatically compute gradients for tensor operations, which is essential for training deep learning models. Most importantly, PyTorch offers a wide range of tools and utilities for building and training neural networks, such as flexible modules for defining layers, loss functions, and optimization algorithms, as well as functions for data loading and preprocessing.

Why PyTorch?

PyTorch is comparatively easier to learn than other deep learning frameworks because its syntax is deeply integrated with Python. The documentation is also very organized and helpful for beginners. Thanks to its flexibility, PyTorch is widely used by researchers and practitioners in the deep learning community. In addition, there is a rich ecosystem of libraries built on top of PyTorch, such as torchvision for computer vision and torchtext for natural language processing. As of February 2022, PyTorch is the most used deep learning framework on Papers With Code, a website for tracking machine learning research papers and the code repositories attached with them.

Credit: Image taken from www.learnpytorch.io.