AI Development with TensorFlow and PyTorch / Najlacnejšie knihy
AI Development with TensorFlow and PyTorch

Kód: 50492026

AI Development with TensorFlow and PyTorch

Autor Henry B. Lopez

AI Development with TensorFlow and PyTorch: Foundations, Techniques, and Real-World Applications of Deep Learning is a professional guide designed for engineers, researchers, and tech leaders who need to navigate the world's two m ... celý popis

12.33

Bežne: 13.31 €

Ušetríte 0.98 €


Skladom u dodávateľa
Odosielame za 9 - 15 dní
Pridať medzi želanie

Mohlo by sa vám tiež páčiť

Darčekový poukaz: Radosť zaručená
  1. Darujte poukaz v ľubovoľnej hodnote, a my sa postaráme o zvyšok.
  2. Poukaz sa vzťahuje na všetky produkty v našej ponuke.
  3. Elektronický poukaz si vytlačíte z e-mailu a môžete ho ihneď darovať.
  4. Platnosť poukazu je 12 mesiacov od dátumu vystavenia.

Objednať darčekový poukazViac informácií

Viac informácií o knihe AI Development with TensorFlow and PyTorch

Nákupom získate 30 bodov

Anotácia knihy

AI Development with TensorFlow and PyTorch: Foundations, Techniques, and Real-World Applications of Deep Learning is a professional guide designed for engineers, researchers, and tech leaders who need to navigate the world's two most powerful AI ecosystems.

The book moves beyond a simple "how-to" by treating TensorFlow and PyTorch as a unified toolkit rather than competing rivals. It follows a rigorous path from the mathematical foundations of neural networks to high-level industrial deployment.

Core Themes & Highlights
Framework Fluency: Unlike books that specialize in just one library, this work focuses on cross-framework proficiency. It teaches you how to choose the right tool for the job-leveraging PyTorch for research agility and TensorFlow for production stability.

The Modern Architecture Stack: It provides deep dives into the transition from traditional CNNs and RNNs to modern Transformer architectures, Generative AI (GANs, VAEs, and Diffusion), and Large Language Models (LLMs).

End-to-End MLOps: A significant portion is dedicated to the "Real-World" aspect. You learn how to manage data versions with DVC, track complex experiments with Weights & Biases, and deploy models to the edge using TFLite and ONNX.

Responsible Innovation: The book concludes with a critical look at Ethical AI, teaching developers how to mathematically detect bias and harden their models against adversarial security attacks.

Who is this for?
This book is intended for intermediate to advanced practitioners-individuals who understand basic Python and are ready to build, scale, and deploy "enterprise-ready" artificial intelligence.

Parametre knihy

12.33

Obľúbené z iného súdka



Osobný odber Bratislava a 12744 dalších

Copyright ©2008-26 najlacnejsie-knihy.sk Všetky práva vyhradenéSúkromieCookies


Môj účet: Prihlásiť sa
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Nákupný košík ( prázdny )

Vyzdvihnutie v Zásielkovni
zadarmo nad 59,99 €.

Nachádzate sa: