Visual Studio Magazine

Multi-Class Classification Using PyTorch: Model Accuracy

The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, for example "low," "medium" or "high" for a person's annual income.
InfoWorld

PyTorch tutorial: Get started with deep learning in Python

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 ...
Visual Studio Magazine

Multi-Class Classification Using PyTorch: Preparing Data

Dr. James McCaffrey of Microsoft Research kicks off a four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values. The goal of ...

Alif Semiconductor elevates generative AI at the edge with new support for ExecuTorch Runtime in its Ensemble MCUs

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...
InfoWorld

5 reasons to choose PyTorch for deep learning

PyTorch is definitely the flavor of the moment, especially with the recent 1.3 and 1.4 releases bringing a host of performance improvements and more developer-friendly support for mobile platforms.
New Electronics

Alif Semiconductor providing support for ExecuTorch Runtime in Ensemble MCUs

Alif Semiconductor, a supplier of Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion ...