{"product_id":"deep-learning-with-r-2-e","title":"Deep Learning with R, 2\/e","description":"\u003cp\u003e\u003cb\u003eDeep learning from the ground up using R and the powerful Keras library!\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIn \u003ci\u003eDeep Learning with R, Second Edition\u003c\/i\u003e you will learn:\u003c\/strong\u003e\u003c\/p\u003e\u003cp\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\u003c\/p\u003e\u003cp\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.\u003c\/p\u003e\u003cp\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the technology\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDeep 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the book\u003c\/strong\u003e\u003c\/p\u003e\u003cp\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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat's inside\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eImage classification and image segmentation\u003c\/p\u003e\u003cp\u003eTime series forecasting\u003c\/p\u003e\u003cp\u003eText classification and machine translation\u003c\/p\u003e\u003cp\u003eText generation, neural style transfer, and image generation\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the reader\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFor readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAbout the author\u003c\/strong\u003e\u003c\/p\u003e\u003cp\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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1 What is deep learning?\u003cbr\u003e2 The mathematical building blocks of neural networks\u003cbr\u003e3 Introduction to Keras and TensorFlow\u003cbr\u003e4 Getting started with neural networks: Classification and regression\u003cbr\u003e5 Fundamentals of machine learning\u003cbr\u003e6 The universal workflow of machine learning\u003cbr\u003e7 Working with Keras: A deep dive\u003cbr\u003e8 Introduction to deep learning for computer vision\u003cbr\u003e9 Advanced deep learning for computer vision\u003cbr\u003e10 Deep learning for time series\u003cbr\u003e11 Deep learning for text\u003cbr\u003e12 Generative deep learning\u003cbr\u003e13 Best practices for the real world\u003cbr\u003e14 Conclusions\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. 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