Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

The fundamental object in PyTorch is called a tensor. A tensor is essentially an n-dimensional array that can be processed using either a CPU or a GPU. PyTorch tensors are surprisingly complex. One of ...

A network written in PyTorch is a Dynamic Computational Graph (DCG). It allows you to do any crazy thing you want to do. Dynamic data structures inside the network.

The torch.no_grad() block is used so that the output tensor-array doesn't become part of the network's internal computational graph. The output is an array of 10 logits. Logits are just likelihood ...

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 ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...