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Paperback. Etat : new. Paperback. Mastering PyTorch: A Practical Guide to AI & Deep Learning Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. DEEP LEARNING WITH PYTORCH: Master the Construction of Modern Neural Networks with Practicality and Efficiency - 2024 Edition, a comprehensive guide to elevate your artificial intelligence skills. Written by Diego Rodrigues, an international author with over 180 titles published in six languages, this book bridges the gap between theory and practice for creating innovative solutions with PyTorch, one of the most advanced deep learning libraries in the world.Whether you are a beginner or an experienced professional, this book provides a structured approach, from basics to advanced techniques, to apply Deep Learning efficiently and robustly. From tensor manipulation to the development of CNNs, RNNs, and Transformer architectures, you will find practical exercises and real-world applications that will help you solve modern-day problems.You will learn to: Build custom neural networks and implement them with PyTorch.Use advanced features such as distributed processing and GPU acceleration.Apply Deep Learning to computer vision, NLP, and other critical areas.Adopt best practices for data preprocessing, model validation, and optimization.The content includes applied case studies and practical examples optimized for cloud platforms like AWS and Google Cloud, offering a holistic view of implementing solutions with PyTorch.If you are ready to transform ideas into technological innovations, DEEP LEARNING WITH PYTORCH is the ultimate resource to shape the future with artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. Welcome to "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency - 2024 Edition," an essential guide to taking your artificial intelligence skills to the next level. Written by Diego Rodrigues, author of over 180 titles published in six languages, this book combines theory and practice to empower you to build innovative and robust applications with PyTorch, one of the world's most popular deep learning libraries.Whether you're a beginner or an experienced professional, this book offers an in-depth dive into the fundamentals and advanced applications of PyTorch. From tensor manipulation to implementing modern architectures like GANs and Transformers, you'll be guided through structured learning and practical exercises designed to solve real-world problems.You will learn how to: Create custom neural networks and train them efficiently.Use advanced features such as distributed processing and GPU training.Develop optimized solutions for computer vision, NLP, and other AI domains.Apply best practices for data preprocessing, augmentation, and model validation.The content includes clear examples, practical case studies, and optimization techniques for different cloud platforms like AWS and Google Cloud. This is the definitive resource for those who want to master PyTorch and turn ideas into technological innovations.If you're ready to harness the power of deep learning, "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency" is your guide to shaping the future with artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. Unlock the full potential of deep learning with this comprehensive, hands-on guide to PyTorch! Whether you are a beginner eager to learn the foundations of deep learning or an experienced practitioner looking to tackle advanced projects, this book has everything you need to get started and master PyTorch.Key Features: Practical, hands-on approach: Dive into real-world projects, step-by-step tutorials, and interactive code examples designed to teach you how to apply deep learning techniques effectively.Comprehensive coverage: From understanding the basics of neural networks and backpropagation to mastering advanced topics like CNNs, RNNs, transformers, GANs, and reinforcement learning.Build, train, and deploy models: Learn how to design and train cutting-edge models for a variety of applications, including image classification, natural language processing, and generative modeling.Real-world case studies: Explore practical use cases from industries like healthcare, finance, and autonomous vehicles, demonstrating how deep learning is transforming modern technology.Master PyTorch: Understand the core PyTorch concepts, including tensors, autograd, and GPU acceleration, and apply them in building efficient, scalable deep learning models.This book will take you through the complete deep learning workflow: Start with the basics: Learn the foundations of neural networks and PyTorch, setting up your development environment and writing your first deep learning model.Explore advanced techniques: Dive deep into convolutional neural networks (CNNs) for computer vision, recurrent neural networks (RNNs) and LSTMs for time-series and NLP tasks, and the powerful transformer models that power state-of-the-art natural language processing.Hands-on projects: Build practical applications, from image classification and sentiment analysis to creating your own generative models like GANs for art and data generation.Deploy your models: Learn how to take your trained models and deploy them to production with tools like PyTorch Serve and ONNX, or convert them for use with other frameworks such as TensorFlow.Why This Book?With clear, simple explanations and practical code examples, this book simplifies complex deep learning concepts and turns theory into action. Each chapter includes exercises and challenges that reinforce your learning, making this a perfect resource for students, professionals, and anyone passionate about AI and machine learning.By the end of this book, you'll have the skills to: Build deep learning models using PyTorch for a variety of tasks.Fine-tune pre-trained models for your own applications.Work with the latest deep learning techniques and frameworks.Apply deep learning solutions in real-world scenarios.Perfect for: Beginners wanting to learn deep learning and PyTorch from scratch.Intermediate learners looking to advance their knowledge and tackle more complex models.Developers and AI enthusiasts who want to integrate deep learning into their projects.Get ready to build powerful, production-ready deep learning models. Start your journey with PyTorch today, and take the first step toward mastering AI! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. Harness the Power of PyTorch for Cutting-Edge AI SolutionsPyTorch has become the go-to deep learning framework for researchers and industry professionals alike. Whether you're a data scientist, AI engineer, or Python enthusiast, this book will help you master PyTorch and apply it to real-world machine learning and deep learning challenges.Master PyTorch for AI and Data ScienceThis comprehensive guide takes you from the fundamentals of PyTorch to advanced deep learning techniques, enabling you to build, train, and optimize models with confidence. You'll start with an introduction to tensors and autograd, then progress to training neural networks, fine-tuning transformers, and deploying AI models. With practical examples and hands-on projects, you'll gain a deep understanding of PyTorch's capabilities for natural language processing (NLP), computer vision, and structured data tasks.By the end of this book, you'll be equipped with the skills to develop scalable, production-ready AI models using PyTorch, making you a valuable asset in the world of data science and machine learning.Why Choose This Book? Practical Approach - Learn through real-world projects and hands-on exercises. Comprehensive Coverage - Covers everything from basic tensors to advanced deep learning architectures. Modern AI Techniques - Includes transformers, GANs, and reinforcement learning. Optimized for Efficiency - Learn best practices for model optimization and deployment. Perfect for Data Scientists - Tailored for those looking to apply machine learning to real-world datasets.Start Building Smarter AI Models Today!Don't just learn PyTorch-master it with this practical, in-depth guide. Grab your copy now and take your data science and AI skills to the next level! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. Bienvenido a "25 Ejercicios para Aprender PyTorch". Este libro esta disenado para proporcionarte una solida comprension de PyTorch, una de las bibliotecas de aprendizaje automatico mas populares y poderosas disponibles en Python. A lo largo de esta guia, exploraras una variedad de ejercicios practicos que te ayudaran a dominar los fundamentos de PyTorch y a aplicarlos en diversos contextos del mundo real.Parte 1: Fundamentos de PyTorchEn el primera parte, nos sumergiremos en los conceptos basicos de PyTorch. Comenzaremos desde cero, explorando los tensores, la estructura de datos fundamental en PyTorch, asi como las operaciones basicas que se pueden realizar con ellos. Tambien nos adentraremos en el mecanismo de autograd de PyTorch, que proporciona una forma eficiente de calcular gradientes automaticamente para optimizar modelos de aprendizaje automatico.Parte 2: Construccion de ModelosEn esta parte, aprenderas a construir y entrenar modelos de aprendizaje automatico utilizando PyTorch. Exploraremos la creacion de redes neuronales profundas, la definicion de arquitecturas complejas y la aplicacion de tecnicas avanzadas para mejorar el rendimiento del modelo. Tambien cubriremos la optimizacion y el entrenamiento del modelo, asi como las mejores practicas para monitorizar y evaluar su rendimiento.Parte 3: Ejercicios PracticosFinalmente, en la tercera parte, aplicaras todo lo que has aprendido en una serie de ejercicios practicos. Desde la clasificacion de imagenes hasta la generacion de texto y la deteccion de objetos, estos ejercicios te desafiaran a utilizar PyTorch en una variedad de escenarios del mundo real. Cada ejercicio vendra acompanado de una explicacion detallada y consejos utiles para guiar tu aprendizaje.Con "25 Ejercicios para Aprender PyTorch", estamos seguros de que desarrollaras una comprension solida y practica de esta poderosa biblioteca de aprendizaje automatico. Preparate para sumergirte en el emocionante mundo de PyTorch y llevar tus habilidades de aprendizaje automatico al siguiente nivel! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. Harness the Power of PyTorch 2.6 to Build Cutting-Edge AI ModelsPyTorch has become the go-to framework for deep learning, and with version 2.6, it's more powerful and efficient than ever. Whether you're a data scientist, AI researcher, or developer, this book will guide you through mastering PyTorch's latest features to build, train, and deploy neural networks with confidence.What's Inside?This hands-on guide takes you from the fundamentals of PyTorch to advanced deep-learning techniques, covering everything from building neural networks to deploying scalable AI solutions. You'll learn how to leverage PyTorch 2.6's latest optimizations, including compile mode, improved ONNX export, and enhanced model efficiency. Through real-world projects and step-by-step tutorials, you'll gain the skills to develop state-of-the-art AI models for computer vision, natural language processing, and more.Why Choose This Book? Comprehensive Coverage - Covers the latest PyTorch 2.6 features, best practices, and deployment strategies. Hands-on Learning - Includes practical examples, real-world projects, and step-by-step code implementations. Performance Optimization - Learn how to optimize models for speed, efficiency, and scalability. Production-Ready AI - Master techniques for deploying AI models with ONNX, TorchServe, and cloud integration. Expert Insights - Authored by industry professionals with deep learning expertise.Get Started Today!Whether you're building your first neural network or fine-tuning advanced AI models, Mastering PyTorch 2.6 equips you with the skills to take your deep-learning projects to the next level. Grab your copy now and start building intelligent systems with PyTorch! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. Dive into the world of AI with Deep Learning with PyTorch! This book is a hands-on guide to mastering neural networks and artificial intelligence using PyTorch, the popular and powerful deep learning framework. Written by AI expert Thompson Carter, this book breaks down complex concepts with real-world projects, covering essential topics like model building, optimization, transfer learning, and neural network architectures. Whether you're a beginner or an experienced developer, this book provides step-by-step guidance on creating scalable, high-performance models that power today's AI-driven applications. Explore the future of technology, learn to tackle real-world challenges, and join the next generation of AI innovators with this must-have guide to PyTorch. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Etat : new. Paperback. PyTorch has become one of the most powerful and widely adopted frameworks for deep learning. Whether you're a beginner looking to understand the fundamentals or an experienced developer aiming to optimize models and deploy them efficiently, this book is your ultimate guide.This comprehensive resource takes you through every stage of deep learning with PyTorch, covering everything from basic tensor operations to advanced topics such as generative models, reinforcement learning, and distributed training. With detailed explanations, practical code examples, and real-world applications, you'll gain a deep understanding of PyTorch's capabilities and how to apply them to cutting-edge AI projects.What You Will Learn: Core PyTorch Concepts - Grasp the essentials of tensors, autograd, and model building.Deep Learning Architectures - Implement CNNs, RNNs, Transformers, GANs, and VAEs.Training Optimization - Improve model efficiency with quantization, pruning, and mixed-precision training.Handling Large Datasets - Leverage PyTorch's DataLoader API and distributed training techniques.Model Deployment - Deploy models with Flask, FastAPI, TorchServe, and even on mobile and edge devices.Ethical AI Development - Understand bias, responsible AI practices, and debugging techniques.With hands-on coding exercises, step-by-step implementations, and industry insights, this book empowers you to build and deploy AI models confidently.Whether you're a researcher, engineer, or AI enthusiast, this book provides the knowledge and tools to excel in deep learning with PyTorch. Start building powerful AI models today-your journey to mastering PyTorch begins here! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Paperback. Etat : new. Paperback. Ready to dive into the revolutionary world of Deep Learning but feeling overwhelmed? This book is your friendly, hands-on guide to mastering PyTorch, the powerful and intuitive Python framework that's transforming artificial intelligence."PyTorch for Deep Learning: A Practical Introduction for Beginners" provides a clear and accessible path for anyone with basic Python knowledge to build and train their own deep learning models. You'll start with the fundamentals, learning about tensors, automatic differentiation, and neural network building blocks. The book then guides you through practical examples, including image and text classification, using convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Finally, you'll discover advanced techniques like transfer learning to leverage pre-trained models for rapid development and cutting-edge results. Throughout the book, code examples are clear, well-documented, and designed to help you build real-world applications.This book prioritizes hands-on learning and makes no assumptions about previous machine learning knowledge. Learn to build and train linear regression and logistic regression models, how data is handled by datasets and dataloaders, and how to monitor and evaluate model performance using metrics and visualizations. This book provides practical exercises that reinforce learning and show how to apply what you've learned to real-world problems. This book will help you to gain skills in one of the most indemand AI frameworks.Why Choose This Book?Beginner-Friendly: Assumes no prior machine learning knowledge.Practical Focus: Emphasizes hands-on coding and real-world applications.Clear Explanations: Breaks down complex concepts into simple, easy-to-understand terms.Step-by-Step Guidance: Provides a structured path from foundational concepts to building complete deep learning pipelines.Up-to-Date Content: Covers the latest PyTorch features and best practices.Ready to transform your Python skills into Deep Learning expertise? Grab your copy of "PyTorch for Deep Learning: A Practical Introduction for Beginners" today and start building the future of AI! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.