Jax

Thorough and complete with lots of examples and best practices, "RESTful Java with JAX-RS" demonstrates how to build RESTful Web applications with Java that are elegant, easy to use, and easy to understand.

Now fans of JAX can cook more than seventy of their most requested receipts adapted for home cooking.

CD-ROM contains: Source code -- Tools for developing and deploying Web services.

A bestselling forbidden love rockstar romance is now free to read for the very first time! He's JAX. He's a rockstar. He's a screw-up. He broke my heart. He's my new stepbrother. Jaxson Blue is rock royalty: the son of one of the biggest names on the planet. He was my first...everything. Then he broke my heart in the most public way possible. I never want to think about Jax again. Too bad his music seems to follow me wherever I go. Now my hard-living roadie of a father is marrying Jax's rock star mother and the four of us have to co-exist in the same house for two weeks. Jax is still the same sexy, arrogant jerk I fell in love with, and I'm too weak to resist him for long. So I make a deal with myself. It's only until the wedding. It's only a fling. It doesn't mean anything. I'm not doing anything wrong...right? NOTE: All characters are over the age of 18 and are not blood-related.

This amazing and breathtaking childrens book begins with a boy named Jax and his imaginary friend, Dex, going on an amazing, unforgettable adventure to Mars.

"Google JAX Essentials" is a comprehensive guide designed for machine learning and deep learning professionals aiming to leverage the power and capabilities of Google's JAX library in their projects. Over the course of eight chapters, this book takes the reader from understanding the challenges of deep learning and numerical computations in the existing frameworks to the essentials of Google JAX, its functionalities, and how to leverage it in real-world machine learning and deep learning projects. The book starts by emphasizing the importance of numerical computing in ML and DL, demonstrating the limitations of standard libraries like NumPy, and introducing the solution offered by JAX. It then guides the reader through the installation of JAX on different computing environments like CPUs, GPUs, and TPUs, and its integration into existing ML and DL projects. The book details the advanced numerical operations and unique features of JAX, including JIT compilation, automatic differentiation, batched operations, and custom gradients. It illustrates how these features can be employed to write code that is both simpler and faster. The book also delves into parallel computation, the effective use of the vmap function, and the use of pmap for distributed computing. Lastly, the reader is walked through the practical application of JAX in training different deep learning models, including RNNs, CNNs, and Bayesian models, with an additional focus on performance-tuning strategies for JAX applications. Key Learnings Mastering the installation and configuration of JAX on various computing environments. Understanding the intricacies of JAX's advanced numerical operations. Harnessing the power of JIT compilation in JAX for accelerated computations. Implementing batched operations using the vmap function for efficient processing. Leveraging automatic differentiation and custom gradients in JAX. Proficiency in using the pmap function for distributed computing in JAX. Training different types of deep learning models using JAX. Applying performance tuning strategies to maximize JAX application efficiency. Integrating JAX into existing machine learning and deep learning projects. Complementing the official JAX documentation with practical, real-world applications. Table of Content Necessity for Google JAX Unravelling JAX Setting up JAX for Machine Learning and Deep Learning JAX for Numerical Computing Diving Deeper into Auto Differentiation and Gradients Efficient Batch Processing with JAX Power of Parallel Computing with JAX Training Neural Networks with JAX Audience This is must read for machine learning and deep learning professionals to be skilled with the most innovative deep learning library. Knowing Python and experience with machine learning is sufficient is desired to begin with this book.

Jax and his friends are based on real animals that lived in author's neighbors' backyards in the state of Colorado, USA. The author started writing the book about Jax and his friends when he noticed how all the animals seem to help each other during the cold and snowy months when there seemed to be the least of food. The animals would actually drop a piece of food for any animal to pick up.

In this book you'll learn the concepts of SOAP based Web Services architecture and get practical advice on building and deploying Web Services in the enterprise. Starting from the basics and the best practices for setting up a development environment, this book enters into the inner details of the JAX-WS in a clear and concise way. You will also learn about the major toolkits available for creating, compiling and testing SOAP Web Services and how to address common issues such as debugging data and securing its content.