Pytorch
Topic List7 books curated2 recommendations totalA curated collection of books related to Pytorch, ranked by recommendation signals.
Creating and Deploying Deep Learning Applications
Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set...
AI Applications Without a PhD
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this handson guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How With fastai, the first library to provide a consistent inte...
Build, Train, and Tune Neural Networks Using Python Tools
Build Intelligent Language Applications Using Deep Learning
Over 60 Recipes to Design, Develop, and Deploy SelfLearning AI Models Using Python
Building and Deploying Deep Learning Models
A ProblemSolution Approach to Build, Train and Deploy Neural Network Models
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This list aggregates books that appear in public recommendation sources, reader-interest signals, and category data. Books are ranked by their position from the source list; recommendation counts and ratings are shown where available. Open any book to see source-backed recommendation proof, editorial context, and Amazon options — the per-book detail page is where the trust signals live.