Author: Zephyr Quent
Publisher: GitforGits
ISBN: 8197950415
Category : Computers
Languages : en
Pages : 250
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Book Description
This is the practical, solution-oriented book for every data scientists, machine learning engineers, and AI engineers to utilize the most of Google JAX for efficient and advanced machine learning. It covers essential tasks, troubleshooting scenarios, and optimization techniques to address common challenges encountered while working with JAX across machine learning and numerical computing projects. The book starts with the move from NumPy to JAX. It introduces the best ways to speed up computations, handle data types, generate random numbers, and perform in-place operations. It then shows you how to use profiling techniques to monitor computation time and device memory, helping you to optimize training and performance. The debugging section provides clear and effective strategies for resolving common runtime issues, including shape mismatches, NaNs, and control flow errors. The book goes on to show you how to master Pytrees for data manipulation, integrate external functions through the Foreign Function Interface (FFI), and utilize advanced serialization and type promotion techniques for stable computations. If you want to optimize training processes, this book has you covered. It includes recipes for efficient data loading, building custom neural networks, implementing mixed precision, and tracking experiments with Penzai. You'll learn how to visualize model performance and monitor metrics to assess training progress effectively. The recipes in this book tackle real-world scenarios and give users the power to fix issues and fine-tune models quickly. Key Learnings Get your calculations done faster by moving from NumPy to JAX's optimized framework. Make your training pipelines more efficient by profiling how long things take and how much memory they use. Use debugging techniques to fix runtime issues like shape mismatches and numerical instability. Get to grips with Pytrees for managing complex, nested data structures across various machine learning tasks. Use JAX's Foreign Function Interface (FFI) to bring in external functions and give your computational capabilities a boost. Take advantage of mixed-precision training to speed up neural network computations without sacrificing model accuracy. Keep your experiments on track with Penzai. This lets you reproduce results and monitor key metrics. Use advanced visualization techniques, like confusion matrices and learning curves, to make model evaluation more effective. Create your own neural networks and optimizers directly in JAX so you have full control of the architecture. Use serialization techniques to save, load, and transfer models and training checkpoints efficiently. Table of Content Transition NumPy to JAX Profiling Computation and Device Memory Debugging Runtime Values and Errors Mastering Pytrees for Data Structures Exporting and Serialization Type Promotion Semantics and Mixed Precision Integrating Foreign Functions (FFI) Training Neural Networks with JAX
Author: Eben Hewitt
Publisher: "O'Reilly Media, Inc."
ISBN: 0596551061
Category : Computers
Languages : en
Pages : 742
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Book Description
Focuses on service-oriented architecture: web services, orchestrations, poliices, and more - for developers.
Author: Scott Cranton
Publisher: Packt Publishing Ltd
ISBN: 1782170316
Category : Computers
Languages : en
Pages : 696
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Book Description
This book is written in a Cookbook style with short recipes showing developers how to effectively implement EIP without breaking everything in the process. It is concise and to the point, and it helps developers get their data flowing between different components without the need to read through page upon page of theory, while also enabling the reader to learn how to create exciting new projects. Camel Enterprise Integration Cookbook is intended for developers who have some familiarity with Apache Camel and who want a quick lookup reference to practical, proven tips on how to perform common tasks. Every recipe also includes a summary and reference pointers for more details that make it easy for you to get a deeper understanding of the Apache Camel capabilities that you will use day to day.
Author: Jules E. Dowler Shepard
Publisher: Hachette+ORM
ISBN: 0786727160
Category : Health & Fitness
Languages : en
Pages : 306
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Book Description
If you've just been diagnosed with celiac disease, you're not alone: as many as 1 in 133 Americans have this autoimmune disorder characterized by an inability to digest gluten, a protein found in wheat and other grains. For ten years, Jules Shepard's gastrointestinal symptoms went misdiagnosed. Finally diagnosed, she experienced a rollercoaster of emotions and illness the year following, as she discovered what she could and could not eat through trial and error. Now, in The First Year" Celiac Disease and Living Gluten-Free, Shepard explains everything you need to learn and do upon your or a family member's diagnosis. How celiac disease affects your entire body Eating gluten-free (and avoiding hidden glutens) Keeping your kitchen safe from cross-contamination Can I drink alcohol? Celiac and fertility Finding support groups Parenting a child with celiac disease Dining out, traveling, and entertaining This unique guide prioritizes all the most important information on diet and lifestyle changes for you. Day-by-day, week-by-week, month-by-month, learn how to safely alter your diet, manage your symptoms, and adjust to living gluten-free. Complete with easy and delicious recipes for gluten-free baking, The First Year: Celiac Disease and Living Gluten-Free is your essential guide to a healthy life.
Author: Piper M. Treuting
Publisher: Academic Press
ISBN: 0128029196
Category : Science
Languages : en
Pages : 573
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Book Description
The second edition of Comparative Anatomy and Histology is aimed at the new rodent investigator as well as medical and veterinary pathologists who need to expand their knowledge base into comparative anatomy and histology. It guides the reader through normal mouse and rat anatomy and histology using direct comparison to the human. The side by side comparison of mouse, rat, and human tissues highlight the unique biology of the rodents, which has great impact on the validation of rodent models of human disease. - Offers the only comprehensive source for comparing mouse, rat, and human anatomy and histology through over 1500 full-color images, in one reference work - Enables human and veterinary pathologists to examine tissue samples with greater accuracy and confidence - Teaches biomedical researchers to examine the histologic changes in their model rodents - Experts from both human and veterinary fields take readers through each organ system in a side-by-side comparative approach to anatomy and histology - human Netter anatomy images along with Netter-style rodent images
Author: Jules Shepard
Publisher: Da Capo Lifelong Books
ISBN: 073821227X
Category : Health & Fitness
Languages : en
Pages : 306
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Book Description
A step-by-step guide to adjusting to life with celiac disease, including gluten-free recipes, for the 3 million Americans afflicted with this increasingly diagnosed condition.
Author: Grigory Sapunov
Publisher: Simon and Schuster
ISBN: 1633438880
Category : Computers
Languages : en
Pages : 406
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Book Description
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization
Author: Shirley Pease
Publisher: Springer Nature
ISBN: 3642207928
Category : Science
Languages : en
Pages : 671
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Book Description
This laboratory manual, published in cooperation with the International Society for Transgenic Technology (ISTT), provides almost all current methods that can be applied to the creation and analysis of genetically modified animals. The chapters have been contributed by leading scientists who are actively using the technology in their laboratories. Based on their first-hand experience the authors also provide helpful notes and troubleshooting sections. Topics range from standard techniques, such as pronuclear microinjection of DNA, to more sophisticated and modern methods, such as the derivation and establishment of embryonic stem (ES) cell lines, with defined inhibitors in cell culture medium. In addition, related topics with relevance to the field are addressed, including global web-based resources, legal issues, colony management, shipment of mice and embryos, and the three R’s: refinement, reduction and replacement.
Author: Weikuan Gu
Publisher: John Wiley & Sons
ISBN: 1118002172
Category : Science
Languages : en
Pages : 642
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Book Description
This book provides readers with new paradigms on the mutation discovery in the post-genome era. The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated the progress in positional cloning of genes from mutated models. In 2002, the Mouse Genome Sequencing Consortium stated that “The availability of an annotated mouse genome sequence now provides the most efficient tool yet in the gene hunter's toolkit. One can move directly from genetic mapping to identification of candidate genes, and the experimental process is reduced to PCR amplification and sequencing of exons and other conserved elements in the candidate interval. With this streamlined protocol, it is anticipated that many decades-old mouse mutants will be understood precisely at the DNA level in the near future.” The implication of such a statement should be similar to the identification of mutated genes from human diseases and animal models, when genome sequencing is completed for them. More than five years have passed, but genes in many human diseases and animal models have not yet been identified. In some cases, the identification of the mutated genes has been a bottleneck, because the genetic mechanism holds the key to understand the basis of the diseases. However, an integrative strategy, which is a combination of genetic mapping, genome resources, bioinformatics tools, and high throughput technologies, has been developed and tested. The classic paradigm of positional cloning has evolved with completely new concepts of genomic cloning and protocols. This book describes new concepts of gene discovery in the post-genome era and the use of streamlined protocols to identify genes of interest. This book helps identify not only large insertions/deletions but also single nucleotide mutations or polymorphisms that regulate quantitative trait loci (QTL).
Author: Mel A ROWE
Publisher: Mel A ROWE
ISBN: 0648789209
Category : Fiction
Languages : en
Pages : 311
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Book Description
A shy kitchenhand. A sultry ex-fireman. And a town’s tradition is about to be tested… There’ll be no escaping her reputation now, not when Lucy’s hopes of running her own kitchen are derailed by the new guy, Jax. In minutes, he’s managed to stir up the locals and condemn an institution—leaving Lucy jobless! Bound by a promise to bury his past, Jax’s outback survival is off to an uneasy start as he tries to renovate a deserted farmhouse the wildlife has claimed as their own. In need of help, Jax volunteers to assist Lucy as she tries to flip her fried reputation via a crazy-train of trials. In return, she’ll guide him as they explore the boundaries of family, friendship, and his land. A land that hides a secret Lucy is entrusted to keep. A secret that stands between her dreams and the man she loves… From the bestselling author of the much-adored Elsie Creek Series, the romantic adventure continues in this fun, tasty test of trust, love, and dusty outback traditions, revealing that the perfect recipe for happiness in the home is much bigger than a house—it’s a town. **The Elsie Creek Series can be enjoyed as a standalone or beautifully binged in order** Are you ready to Escape to a HAPPILY EVER AFTER?
