Bringing Deep Learning Models to the Edge Efficiently Using ONNX.Book DescriptionONNX has emerged as the de facto standard for deploying portable, framework-agnostic machine learning models across diverse hardware platforms.Ultimate ONNX for Deep Learning Optimization provides a structured, end-to-end guide to the ONNX ecosystem, starting with ONNX fundamentals, model representation, and framework integrati...

Bringing Deep Learning Models to the Edge Efficiently Using ONNX.Key Features● Master end-to-end ONNX workflows from framework export models to edge deployment.● Hands-on optimization techniques like quantization, pruning and knowledge distillation forreal-world edge AI performance.● Production-grade case studies across vision, speech, and language models on edge devices.Book DescriptionONNX has emerged as the de facto standard for deploying ...

Bringing Deep Learning Models to the Edge Efficiently Using ONNX.Key Features● Master end-to-end ONNX workflows from framework export models to edge deployment.● Hands-on optimization techniques like quantization, pruning and knowledge distillation for real-world edge AI performance.● Production-grade case studies across vision, speech, and language models on edge devices.Book DescriptionONNX has emerged as the de facto standard for deploying...

Bringing Deep Learning Models to the Edge Efficiently Using ONNX.Key Features● Master end-to-end ONNX workflows from framework export models to edge deployment.● Hands-on optimization techniques like quantization, pruning and knowledge distillation for real-world edge AI performance.● Production-grade case studies across vision, speech, and language models on edge devices.Book Description...

Bringing Deep Learning Models to the Edge Efficiently Using ONNX.Key Features● Master end-to-end ONNX workflows from framework export models to edge deployment.● Hands-on optimization techniques like quantization, pruning and knowledge distillation for real-world edge AI performance.● Production-grade case studies across vision, speech, and language models on edge devices.Book DescriptionONNX...

How to implement LLM attention mechanisms and GPT-style transformers.In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.Build a Large Language Model (from Scratch) t...

Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance p...

A practical guide in digital systems that demystifies how modern hardware executes software, enabling you to design smarter, more efficient computing solutions across everyday and emerging tech platformsKey FeaturesUnderstand digital circuitry through the study of transistors, logic gates, and sequential logicLearn the architecture of x86, x64, ARM, and RISC-V processors, iPhones, and high-performance gaming PCsStudy the design principles under...

Your secret weapon to understanding—and using!—one of the most powerful influences in the world todayFrom your Facebook News Feed to your most recent insurance premiums—even making toast!—algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand—and even use—these powerful problem-solving tools!In...

Become a machine learning pro!Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool!

Author Michal Zalewski has long been known and respected in the hacking and security communities for his intelligence, curiosity and creativity, and this book is truly unlike anything else out there. In Silence on the Wire: A Field Guide to Passive Reconnaissance and Indirect Attacks, Zalewski shares his expertise and experience to explain how computers and networks work, how information is processed and delivered, and what security threats lurk in the shadows. No humdrum technica...

A no-nonsense, practical guide to current and future processor and computer architectures, enabling you to design computer systems and develop better software applications across a variety of domainsKey FeaturesUnderstand digital circuitry with the help of transistors, logic gates, and sequential logicExamine the architecture and instruction sets of x86, x64, ARM, and RISC-V processorsExplore the architecture of modern devices such as the iPhon...