PyTorch for Deep Learning

PyTorch for Deep Learning

Remington Pace

23,19 €
IVA incluido
Disponible
Editorial:
GEORGETTE KELEMAOKALANI
Año de edición:
2026
Materia
Programación informática/desarrollo de software
ISBN:
9798295582424
23,19 €
IVA incluido
Disponible

Selecciona una librería:

  • Librería Samer Atenea
  • Kálamo Books
  • Librería Elías (Asturias)
  • Librería Kolima (Madrid)
  • Librería Proteo (Málaga)

Are you tired of watching deep learning tutorials that never translate into real skills? Do neural networks, GPUs, and AI models feel overwhelming-even after hours of study? If you’ve struggled to move from theory to actual results, PyTorch for Deep Learning: Building Neural Networks and AI Models was written for you.Most learners get stuck memorizing concepts without knowing how to build, train, and deploy real neural networks. This book flips the script. Instead of passive explanations, PyTorch for Deep Learning: Building Neural Networks and AI Models walks you step by step through hands-on workflows used by real AI engineers-so you don’t just understand deep learning, you use it.Inside PyTorch for Deep Learning: Building Neural Networks and AI Models, you’ll go beyond basics and start building production-ready neural networks with confidence. Every chapter focuses on execution-turning ideas into working AI models using PyTorch, the industry’s most trusted deep learning framework.What you’ll gain from this book:Build neural networks from scratch using PyTorch for Deep LearningTrain, evaluate, and optimize AI models with real-world workflowsMaster tensors, autograd, GPU acceleration, and model debuggingApply transfer learning to accelerate deep learning projectsDeploy neural networks and AI models into productionWrite clean, modular, professional PyTorch codeCreate a portfolio that proves your deep learning skillsWhether you’re a beginner breaking into AI or an intermediate learner upgrading your skills, PyTorch for Deep Learning: Building Neural Networks and AI Models gives you a clear, actionable roadmap from zero to job-ready.If you’re ready to stop guessing and start building, this book is your edge.���� Scroll up and get your copy now-your deep learning journey starts today.

Artículos relacionados

  • SPARK 2014 Reference Manual
    AdaCore / Altran UK Ltd
    SPARK 2014 is a programming language and a set of verification tools designed to meet the needs of high-assurance software development. SPARK 2014 is based on Ada 2012, both subsetting the language to remove features that defy verification, but also extending the system of contracts and aspects to support modular, formal verification.This manual is available online for free at ...
    Disponible

    19,91 €

  • Software and Intelligent Sciences
    Yingxu Wang
    The junction of software development and engineering combined with the study of intelligence has created a bustling intersection of theory, design, engineering, and conceptual thought. Software and Intelligent Sciences: New Transdisciplinary Findings sits at a crossroads and informs advanced researchers, students, and practitioners on the developments in computer science, theor...
  • Power System Planning Technologies and Applications
    Fawwaz Elkarmi / Nazih Abu Shikhah / Nazih Abu-Shikhah
    Planning is an important function of the management of any business, providing knowledge of future prospects and enabling prudent and appropriate decision-making. Planning is especially critical for power systems, since electricity is a fundamental part of modern societies and many conventional electrical energy resources currently in use are limited. Power System Planning Tech...
  • Concept Parsing Algorithms (CPA) for Textual Analysis and Discovery
    Masha Etkind / Uri Shafrir
    Text analysis tools aid in extracting meaning from digital content. As digital text becomes more and more complex, new techniques are needed to understand conceptual structure. Concept Parsing Algorithms (CPA) for Textual Analysis and Discovery: Emerging Research and Opportunities provides an innovative perspective on the application of algorithmic tools to study unstructured d...
  • Model-Based Design for Effective Control System Development
    Wei Wu
    Control systems are an integral aspect of modern society and exist across numerous domains and applications. As technology advances more and more, the complexity of such systems continues to increase exponentially. Model-Based Design for Effective Control System Development is a critical source of scholarly information on model-centric approaches and implementations for control...
  • Verification, Validation and Testing in Software Engineering
    ...