{"product_id":"keras-3-deep-learning-build-high-performance-production-ready-neural-networks-across-tensorflow-pytorch-and-jax-9798279357710","title":"Keras 3 Deep Learning: Build High-Performance, Production-Ready Neural Networks Across TensorFlow, PyTorch, and JAX","description":"\u003cp\u003e • Author(s): Frank Reiniger\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Neural Networks\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKeras 3 Deep Learning: \u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBuild High-Performance, Production-Ready Neural Networks Across TensorFlow, PyTorch, and JAX\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat if you could write a deep learning model once, and run it anywhere, at scale, with confidence?\u003c\/b\u003e\u003cp\u003e\u003ci\u003eKeras 3 Deep Learning\u003c\/i\u003e is written for practitioners who are done choosing sides. TensorFlow, PyTorch, or JAX should be execution details, not architectural constraints. This book shows you how to build \u003cb\u003ehigh-performance, production-ready neural networks\u003c\/b\u003e using Keras 3's multi-backend design, so your models stay portable, scalable, and maintainable from first experiment to real deployment.\u003c\/p\u003e\u003cp\u003eAt its core, this book solves a problem modern ML teams face every day: fragmented workflows. Research code lives in one framework, production lives in another, and scaling introduces yet another layer of complexity. Keras 3 changes that. This book teaches you how to take advantage of that shift, without sacrificing performance, control, or engineering rigor.\u003c\/p\u003e\u003cp\u003eYou will learn how to design models that run consistently across TensorFlow, PyTorch, and JAX, how to choose backends deliberately based on hardware and workload, and how to build data pipelines that keep accelerators busy instead of idle. You will move beyond toy examples into distributed training, mixed precision, profiling, debugging, and automated hyperparameter search, using workflows that reflect how production systems actually operate.\u003c\/p\u003e\u003cp\u003eAlong the way, you will gain the ability to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eBuild portable models with the Sequential and Functional APIs that scale cleanly across backends\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eConstruct real data pipelines using Pandas, NumPy, tf.data, and PyTorch DataLoader without duplication\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eOptimize training with modern optimizers, learning-rate schedules, and regularization techniques\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eScale beyond a single machine using distributed strategies, cluster orchestration, and tuning workflows\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate with TensorBoard, Keras Recommenders, and custom backend extensions for real-world systems\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is not a theory book. It is a practical, engineering-focused guide for AI engineers, ML practitioners, and data scientists who need results that survive production constraints.\u003c\/p\u003e\u003cp\u003eIf you are ready to stop rewriting models, stop guessing about performance, and start building deep learning systems that work across frameworks and infrastructure, \u003cb\u003eget your copy of \u003ci\u003eKeras 3 Deep Learning\u003c\/i\u003e today.\u003c\/b\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779026272407,"sku":"9798279357710","price":2716.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798279357710.webp?v=1778032876","url":"https:\/\/atlanticbooks.com\/products\/keras-3-deep-learning-build-high-performance-production-ready-neural-networks-across-tensorflow-pytorch-and-jax-9798279357710","provider":"Atlantic Books","version":"1.0","type":"link"}