PyTorch Foundations and Applications - Definitive Reference for Developers and Engineers

Richard Johnson

Sinopsis

"PyTorch Foundations and Applications""PyTorch Foundations and Applications" is a comprehensive and meticulously structured guide designed for practitioners and researchers aiming to master modern deep learning workflows with PyTorch. Through a clear progression—from fundamental concepts to advanced deployment scenarios—this book covers the inner workings of the PyTorch framework, including its core architecture, tensor operations, memory management, and automatic differentiation system. Early chapters equip readers with the practical skills needed for efficient data handling, robust model composition, and the management of computing resources across CPUs, GPUs, and distributed environments.Moving beyond the basics, the book delves deep into the mechanisms of model training, optimization, and advanced techniques such as custom autograd functions, quantization, and model compression. Readers are introduced to hands-on strategies for implementing scalable, high-performance training pipelines, leveraging mixed precision, and deploying models in production settings using robust MLOps practices. Each topic is illustrated with best practices for testing, debugging, reproducibility, and compliance with security and privacy standards—ensuring that models are not only performant but also reliable and secure for real-world applications.The final sections illustrate PyTorch's versatility across diverse application domains, from computer vision and natural language processing to audio processing, reinforcement learning, and geometric deep learning. The book concludes with an exploration of the PyTorch ecosystem, community engagement, and emerging trends such as PyTorch 2.0 and compiler-based optimizations. Rich with references to domain-specific tools and ongoing research integration, "PyTorch Foundations and Applications" serves both as an authoritative reference and a practical handbook, empowering readers to build, scale, and maintain state-of-the-art machine learning solutions with confidence.

Disponible desde: 09/06/2025.

Longitud de impresión: 250 páginas.

Ciencia y tecnología

Otros libros que te pueden interesar

Extreme Programming for...

Daniel Greene

Dive into the dynamic world of Extreme Programming (XP) with "Extreme Programming: Embracing Agility, Quality, and Collaboration in Software Development" your essential roadmap to understanding and implementing one of the most effective agile methodologies in software development. Designed with beginners in mind, this book demystifies XP practices, making them accessible and actionable for new developers, project managers, and teams aspiring to enhance their development process.
Extreme Programming (XP) stands out for its focus on customer satisfaction, flexibility in the face of changing requirements, and emphasis on technical excellence and good design. This book starts by introducing the foundational values of XP—communication, simplicity, feedback, courage, and respect—and how these principles guide the XP practices to promote high-quality software and productive teamwork.
"Extreme Programming" breaks down the core practices of XP, including Test-Driven Development (TDD), Continuous Integration (CI), Pair Programming, Collective Code Ownership, and Coding Standards. Each chapter dives deep into one practice, explaining its importance, how it works, and how to implement it effectively in your projects. Practical examples and real-life scenarios illustrate the challenges and benefits of adopting XP, providing readers with a clear view of how to apply these practices to improve their development process.
The book goes beyond the basics, offering insights into refining and adapting XP practices to fit various project sizes and types. It explores advanced topics such as managing distributed teams, integrating XP with other project management methodologies, and scaling XP for large projects.

Ver libro

You Teach the Machines - AI On...

Jeff Pennington

AI on your terms. Not theirs. You Teach the Machines helps people of all backgrounds understand, live with, and use artificial intelligence. Told through real examples drawn from finance, cooking, technology, marketing, health, music, driving, and more, You Teach the Machines will help you maximize benefit and minimize harm from the AI-driven change already happening in your life. Find out what AI has to do with data privacy, the movie Trading Places, painter Bob Ross's Happy Little Clouds, the growth of the nuclear power industry, and your child or grandchild's classroom. Did you know that AI learns much like a baby? Understand the AI training cycle and how you participate in it-whether you realize it or not, you literally teach the machines. Did you know that AI can scale the expertise of specialized doctors? Discover how AI can enhance your health and provide rural residents with new access to medical care. Does this all feel new? Learn how we've been here before: From the invention of the written and printed word to ChatGPT, You Teach the Machines shows how writing and books have transformed the use of human knowledge, just as AI is doing now. Historical anecdotes help to demystify and put powerful new artificial intelligence technology in a historical context relevant to your life and work today. Completely new to AI? Helpful hands-on exercises walk you through what AI is good at—and where it is still a work-in-progress. Gain actionable insight into the pitfalls and side effects of a new industrial revolution in human knowledge work. Most importantly, You Teach the Machines lays out a path to improve your work and life with artificial intelligence. On your terms.

Ver libro

A Life Worth Living

Simon Ingram

Sometimes, looking at your past can give you the strength to move forward. As the classic symptoms of Parkinsons disease began to take control of Simon's life, he became a shadow of his former self. After months of fighting to keep the disease in check, Simon finally found the strength to tell his family and even managed to book an appointment with a neurologist. Sadly, at a time when he needed an experienced health care professional to help him fight his corner, what he got was a cold, uncaring man who clearly had no time for his situation. However, his initial assessment proved to be 100% accurate; at just 36 years of age, Simon was told he had Parkinsons disease. The desire to produce a written account of his life for his immediate family and friends led to A Life Worth Living. Ingram looks back at his life, often with humour and pathos, and decides that the way to keep going is to appreciate the life he has led. The only way to fight is to appreciate what battles he has already fought and won. After all, what else makes a life worth living? Ingram's first-hand account of his life from his early childhood to teen years to his first signs of the debilitating disease give an insider's look at not just a 'disease' but a man.

Ver libro

The Network - The Battle for the...

Scott Woolley

The astonishing story of America’s airwaves, the two friends—one a media mogul, the other a famous inventor—who made them available to us, and the government which figured out how to put a price on air. 
This is the origin story of the airwaves—the foundational technology of the communications age—as told through the forty-year friendship of an entrepreneurial industrialist and a brilliant inventor. 
David Sarnoff, the head of RCA and equal parts Steve Jobs, Jack Welch, and William Randolph Hearst, was the greatest supporter of his friend Edwin Armstrong, developer of the first amplifier, the modern radio transmitter, and FM radio. Sarnoff was convinced that Armstrong’s inventions had the power to change the way societies communicated with each other forever. He would become a visionary captain of the media industry, even predicting the advent of the Internet. 
In the mid-1930s, however, when Armstrong suspected Sarnoff of orchestrating a cadre of government officials to seize control of the FM airwaves, he committed suicide. Sarnoff had a very different view of who his friend’s enemies were. 
Many corrupt politicians and corporations saw in Armstrong’s inventions the opportunity to commodify our most ubiquitous natural resource—the air. This early alliance between high tech and business set the precedent for countless legal and industrial battles over broadband and licensing bandwidth, many of which continue to influence policy and debate today.

Ver libro

Spring Design and Manufacture...

Tubal Cain

This book explains the properties for each type of spring, plus essential materials and methods. Few mechanical devices are entirely devoid of springs of one sort or another, but satisfactory operation rests on details such as spring strength and degree of movement. Yet information on calculating and making springs is not easily available. Designing springs can be difficult due to the number of variables and the complexity of the formula. The book also introduces the designer to charts and nomograms, which greatly simplify the process. Topics include tension and compression spring principles, compression and spring design, examples for winding coil springs, how to design, make, and coil a leaf spring, torsion spring, and I.C. engine valve springs.

Ver libro

Scaling Responsible AI - From...

Noelle Russell

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI. 
 
 
 
In this groundbreaking book, Noelle Russell reveals an executable framework to harness AI's full potential while safeguarding your firm's reputation; mitigate bias, accuracy, privacy, and cybersecurity risks from the start; make informed choices by seeing through the hype and identifying true AI value; and develop an ethical AI culture across teams and leadership. 
 
 
 
Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver. 
 
 
 
Implement artificial intelligence that drives profits, innovation, and competitive edge—the responsible way.

Ver libro