{"product_id":"deep-learning-with-javascript","title":"Deep Learning with JavaScript","description":"\u003cp\u003e\u003cstrong\u003eSummary\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. \u003ci\u003eDeep Learning with JavaScript\u003c\/i\u003e shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.\u003c\/p\u003e\u003cp\u003eForeword by Nikhil Thorat and Daniel Smilkov.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the technology\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eRunning deep learning applications in the browser or on Node-based backends opens up exciting possibilities for smart web applications. With the TensorFlow.js library, you build and train deep learning models with JavaScript. Offering uncompromising production-quality scalability, modularity, and responsiveness, TensorFlow.js really shines for its portability. Its models run anywhere JavaScript runs, pushing ML farther up the application stack.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the book\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eDeep Learning with JavaScript\u003c\/i\u003e, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat's inside\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Image and language processing in the browser\u003cbr\u003e- Tuning ML models with client-side data\u003cbr\u003e- Text and image creation with generative deep learning\u003cbr\u003e- Source code samples to test and modify\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the reader\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFor JavaScript programmers interested in deep learning.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTOC:\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePART 1 - MOTIVATION AND BASIC CONCEPTS\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1 • Deep learning and JavaScript\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePART 2 - A GENTLE INTRODUCTION TO TENSORFLOW.JS\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e2 • Getting started: Simple linear regression in TensorFlow.js\u003c\/p\u003e\u003cp\u003e3 • Adding nonlinearity: Beyond weighted sums\u003c\/p\u003e\u003cp\u003e4 • Recognizing images and sounds using convnets\u003c\/p\u003e\u003cp\u003e5 • Transfer learning: Reusing pretrained neural networks\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePART 3 - ADVANCED DEEP LEARNING WITH TENSORFLOW.JS\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e6 • Working with data\u003c\/p\u003e\u003cp\u003e7 • Visualizing data and models\u003c\/p\u003e\u003cp\u003e8 • Underfitting, overfitting, and the universal workflow of machine learning\u003c\/p\u003e\u003cp\u003e9 • Deep learning for sequences and text\u003c\/p\u003e\u003cp\u003e10 • Generative deep learning\u003c\/p\u003e\u003cp\u003e11 • Basics of deep reinforcement learning\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePART 4 - SUMMARY AND CLOSING WORDS\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e12 • Testing, optimizing, and deploying models\u003c\/p\u003e\u003cp\u003e13 • Summary, conclusions, and beyond\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEbook License\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. Grant Of License\u003c\/p\u003e\u003cp\u003eManning Has Authorized The Download By You Of An Unrestricted Number Of Copies Of The Electronic Book (Ebook) In Any Of The Available Formats. Manning Grants You A Nonexclusive, Nontransferable License To Use The Ebook According To The Terms And Conditions Herein. This License Agreement Permits You To Install The Ebook On Any And All Your Devices For Your Personal Use Only.\u003c\/p\u003e\u003cp\u003e2. Restrictions\u003c\/p\u003e\u003cp\u003eYou Shall Not: (1) Share, Resell, Rent, Assign, Timeshare, Distribute, Or Transfer All Or Part Of The Ebook Or Any Rights Granted Hereunder To Any Other Person; (2) Duplicate The Ebook, Except For A Single Backup Or Archival Copy; (3) Remove Any Proprietary Notices, Labels, Or Marks From The Ebook; (4) Transfer Or Sublicense Title To The Ebook To Any Other Party.\u003c\/p\u003e\u003cp\u003e3. Intellectual Property Protection\u003c\/p\u003e\u003cp\u003eThe Ebook Is Owned By Manning And Is Protected By United States And International Copyright And Other Intellectual Property Laws. Manning Reserves All Rights In The Ebook Not Expressly Granted Herein. This License And Your Right To Use The Ebook Terminate Automatically If You Violate Any Part Of This Agreement. In The Event Of Termination, You Must Remove The Original And Any Copies Of The Ebook From All Your Devices.\u003c\/p\u003e\u003cp\u003e4. Source Code Supplementary Material\u003c\/p\u003e\u003cp\u003eAny Source Code Files Provided As A Supplement To The Book Are Freely Available To The Public For Download. Reuse Of The Code Is Permitted, In Whole Or In Part, Including The Creation Of Derivative Works, Provided That You Acknowledge That You Are Using It And Identify The Source: Title, Publisher And Year.\u003c\/p\u003e\u003cp\u003e5. Limited Warranty\u003c\/p\u003e\u003cp\u003eManning Warrants That The Ebook Files, A Copy Of Which You Are Authorized To Download, Are Free From Defects In The Operational Sense That They Can Be Read By A Pdf Reader Or Epub Reader, Or Other. Except For This Express Limited Warranty, Manning Makes And You Receive No Warranties, Express, Implied, Statutory Or In Any Communication With You, And Manning Specifically Disclaims Any Other Warranty Including The Implied Warranty Of Merchantability Or Fitness Or A Particular Purpose. Manning Does Not Warrant That The Operation Of The Ebook Will Be Uninterrupted Or Error Free. If The Ebook Was Purchased In The United States, The Above Exclusions May Not Apply To You As Some States Do Not Allow The Exclusion Of Implied Warranties. In Addition To The Above Warranty Rights, You May Also Have Other Rights That Vary From State To State.\u003c\/p\u003e\u003cp\u003e6. Limitation Of Liability\u003c\/p\u003e\u003cp\u003eIn No Event Will Manning Be Liable For Any Damages, Whether Arising For Tort Or Contract, Including Loss Of Data, Lost Profits, Or Other Special, Incidental, Consequential, Or Indirect Damages Arising Out Of The Use Or Inability To Use The Ebook.\u003c\/p\u003e\u003cp\u003e7. General\u003c\/p\u003e\u003cp\u003eThis Agreement Constitutes The Entire Agreement Between You And Manning And Supersedes Any Prior Agreement Concerning The Ebook. This Agreement Is Governed By The Laws Of The State Of New York.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the Author\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eShanqing Cai\u003c\/b\u003e is one of the developers of TensorFlow, a popular open-source framework for deep learning and artificial intelligence.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStan Bileschi\u003c\/b\u003e is the technical lead for Google's TensorFlow Usability team, which built the TensorFlow Layers API.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEric Nielsen\u003c\/b\u003e is a senior software engineer on the Google Brain team.\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":50506285383750,"sku":"9781617296178","price":4432.0,"currency_code":"INR","in_stock":true},{"title":"E-Book","offer_id":50506285416518,"sku":"9781617296178-2","price":4333.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/418l11xmRyL._SX397_BO1_204_203_200.jpg?v=1790325292","url":"https:\/\/cb-india.com\/products\/deep-learning-with-javascript","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}