Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...
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 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.
Deep Learning with Yacine on MSN
Inception Net V1 Explained: Step-by-Step PyTorch Implementation
Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep learning enthusiasts wanting a hands-on understanding of this classic ...
AMD has delivered on its Computex 2025 promise to make PyTorch work on Windows for consumer GPUs and APUs. With the release of ROCm 6.4.4, Radeon RX 9000 (RDNA 4), RX 7000 (RDNA 3), and the new Ryzen ...
Together with Arm, Alif demonstrated at the PyTorch Conference generative AI models compiled with the ExecuTorch Runtime ...
Alif Semiconductor, a supplier of Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion ...
Learning how to create a PyTorch multi-class classifier usually can't be done in a strictly sequential manner. Based on my experience, most people need to use a spiral approach where they examine an ...
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