Although it's possible to create a neural network using raw code, in most cases a better approach is to use a neural network code library. One of the most widely used neural code libraries is PyTorch.

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high-level ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business of ...

The Data Science Lab Getting Started with PyTorch 1.5 on Windows Dr. James McCaffrey of Microsoft Research uses a complete demo program, samples and screenshots to explains how to install the Python ...