{"product_id":"apache-spark-deep-learning-cookbook-pover-80-recipes-that-streamline-deep-learning-in-a-distributed-environment-with-apache-spark-p","title":"Apache Spark Deep Learning Cookbook","description":"\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cspan style=\"box-sizing: border-box; font-weight: 700;\"\u003eA solution-based guide to put your deep learning models into production with the power of Apache Spark\u003c\/span\u003e\u003c\/p\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eKey Features\u003c\/h4\u003e\u003cul style=\"box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eDiscover practical recipes for distributed deep learning with Apache Spark\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eLearn to use libraries such as Keras and TensorFlow\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eSolve problems in order to train your deep learning models on Apache Spark\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e \u003c\/h4\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eBook Description\u003c\/h4\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eWith deep learning gaining rapid mainstream adoption in modern-day industries, organizations are looking for ways to unite popular big data tools with highly efficient deep learning libraries. As a result, this will help deep learning models train with higher efficiency and speed.\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eWith the help of the Apache Spark Deep Learning Cookbook, you’ll work through specific recipes to generate outcomes for deep learning algorithms, without getting bogged down in theory. From setting up Apache Spark for deep learning to implementing types of neural net, this book tackles both common and not so common problems to perform deep learning on a distributed environment. In addition to this, you’ll get access to deep learning code within Spark that can be reused to answer similar problems or tweaked to answer slightly different problems. You will also learn how to stream and cluster your data with Spark. Once you have got to grips with the basics, you’ll explore how to implement and deploy deep learning models, such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) in Spark, using popular libraries such as TensorFlow and Keras.\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eBy the end of the book, you'll have the expertise to train and deploy efficient deep learning models on Apache Spark.\u003c\/p\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eWhat you will learn\u003c\/h4\u003e\u003cul style=\"box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eSet up a fully functional Spark environment\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eUnderstand practical machine learning and deep learning concepts\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eApply built-in machine learning libraries within Spark\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eExplore libraries that are compatible with TensorFlow and Keras\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eExplore NLP models such as Word2vec and TF-IDF on Spark\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eOrganize dataframes for deep learning evaluation\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eApply testing and training modeling to ensure accuracy\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003eAccess readily available code that may be reusable\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003e \u003c\/h4\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eWho this book is for\u003c\/h4\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003eIf you’re looking for a practical and highly useful resource for implementing efficiently distributed deep learning models with Apache Spark, then the Apache Spark Deep Learning Cookbook is for you. Knowledge of the core machine learning concepts and a basic understanding of the Apache Spark framework is required to get the best out of this book. Additionally, some programming knowledge in Python is a plus.\u003c\/p\u003e\u003ch4 style=\"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif\u003eTable of Contents\u003c\/h4\u003e\u003col style=\"box-sizing: border-box; margin: 0px 0px 0px 20px; color: rgb(15, 17, 17); padding-right: 0px; padding-left: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eSetting Up Spark for Deep Learning Development\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eCreating a Neural Network in Spark\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003ePain Points of Convolutional Neural Networks\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003ePain Points of Recurrent Neural Networks\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003ePredicting Fire Department Calls with Spark ML\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eUsing LSTMs in Generative Networks\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eNatural Language Processing with TF-IDF\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eReal Estate Value Prediction using XGBoost\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003ePredicting Apple Stock Market Cost with LSTM\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eFace Recognition using Deep Convolutional Networks\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eCreating and Visualizing Word Vectors Using Word2Vec\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eCreating a Movie Recommendation Engine with Keras\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: decimal; overflow-wrap: break-word; margin: 0px;\"\u003eImage Classification with TensorFlow on Spark\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50506243702854,"sku":"9781788474221","price":3279.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/51doUtz_o9L._SX404_BO1_204_203_200.jpg?v=1790324083","url":"https:\/\/cb-india.com\/products\/apache-spark-deep-learning-cookbook-pover-80-recipes-that-streamline-deep-learning-in-a-distributed-environment-with-apache-spark-p","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}