{"product_id":"deep-learning-with-r-second-edition-9781633439849","title":"Deep Learning with R, Second Edition","description":"\u003cp\u003e • Author(s): Francois Chollet\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Data Science - Neural Networks\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDeep learning from the ground up using R and the powerful Keras library!\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eDeep Learning with R, Second Edition\u003c\/i\u003e you will learn: \u003cp\u003e\u003c\/p\u003e Deep learning from first principles\u003cbr\u003e Image classification and image segmentation\u003cbr\u003e Time series forecasting\u003cbr\u003e Text classification and machine translation\u003cbr\u003e Text generation, neural style transfer, and image generation \u003cp\u003e\u003c\/p\u003e\u003ci\u003eDeep Learning with R, Second Edition\u003c\/i\u003e shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling \u003ci\u003eDeep Learning with Python\u003c\/i\u003e. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e About the technology\u003cbr\u003e Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. \u003cp\u003e\u003c\/p\u003e About the book\u003cbr\u003e \u003ci\u003eDeep Learning with R, Second Edition\u003c\/i\u003e is a hands-on guide to deep learning using the R language. As you move through this book, you'll quickly lock in the foundational ideas of deep learning. The intuitive explanations, crisp illustrations, and clear examples guide you through core DL skills like image processing and text manipulation, and even advanced features like transformers. This revised and expanded new edition is adapted from \u003ci\u003eDeep Learning with Python, Second Edition\u003c\/i\u003e by François Chollet, the creator of the Keras library. \u003cp\u003e\u003c\/p\u003e What's inside \u003cp\u003e\u003c\/p\u003e Image classification and image segmentation\u003cbr\u003e Time series forecasting\u003cbr\u003e Text classification and machine translation\u003cbr\u003e Text generation, neural style transfer, and image generation \u003cp\u003e\u003c\/p\u003eAbout the reader\u003cbr\u003e For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required. \u003cp\u003e\u003c\/p\u003e About the author\u003cbr\u003e \u003cb\u003eFrançois Chollet\u003c\/b\u003e is a software engineer at Google and creator of Keras. \u003cb\u003eTomasz Kalinowski\u003c\/b\u003e is a software engineer at RStudio and maintainer of the Keras and Tensorflow R packages. \u003cb\u003eJ.J. Allaire\u003c\/b\u003e is the founder of RStudio, and the author of the first edition of this book. \u003cp\u003e\u003c\/p\u003eTable of Contents\u003cbr\u003e 1 What is deep learning?\u003cbr\u003e 2 The mathematical building blocks of neural networks\u003cbr\u003e 3 Introduction to Keras and TensorFlow\u003cbr\u003e 4 Getting started with neural networks: Classification and regression\u003cbr\u003e 5 Fundamentals of machine learning\u003cbr\u003e 6 The universal workflow of machine learning\u003cbr\u003e 7 Working with Keras: A deep dive\u003cbr\u003e 8 Introduction to deep learning for computer vision\u003cbr\u003e 9 Advanced deep learning for computer vision\u003cbr\u003e 10 Deep learning for time series\u003cbr\u003e 11 Deep learning for text\u003cbr\u003e 12 Generative deep learning\u003cbr\u003e 13 Best practices for the real world\u003cbr\u003e 14 Conclusions","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":45031183220887,"sku":"9781633439849","price":3902.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781633439849.webp?v=1769206467","url":"https:\/\/atlanticbooks.com\/products\/deep-learning-with-r-second-edition-9781633439849","provider":"Atlantic Books","version":"1.0","type":"link"}