Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...
In this book PyTorch core developer Howard Huang updates the first edition with new insights into the transformers architecture and generative AI models. Huang et al show how to create your own neural ...
The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples of neural networks-- a type of deep learning algorithm modeled after how the human brain works. "GANs are ...
AMD and Intel aim to unify PyTorch CPU optimisations through oneDNN, easing x86 AI deployment. But can one software path ...
Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...
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