The multi-class neural network classifier is implemented in a program-defined Net class. The Net class inherits from the built-in torch.nn.Module class which supplies most of the network functionality ...

Previous articles in Visual Studio Magazine, starting here, have explained multi-class classification using PyTorch. But machine learning with deep neural techniques has advanced quickly. This article ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1.

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 ...

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.

Facebook and Microsoft announced ONNX, the Open Neural Network Exchange this morning in respective blog posts. The Exchange makes it easier for machine learning developers to convert models ...