Deep Learning With Python

Summarydeep Learning With Python Introduces The Field Of Deep Learning Using The Python Language And The Powerful Keras Library. Written By Keras Creator And Google Ai Researcher Fran?Ois Chollet, This Book Builds Your Understanding Through Intuitive Explanations And Practical Examples.Purchase Of The Print Book Includes A Free Ebook In Pdf, Kindle, And Epub Formats From Manning Publications.About The Technologymachine Learning Has Made Remarkable Progress In Recent Years. We Went From Nearunusable Speech And Image Recognition, To Nearhuman Accuracy. We Went From Machines That Couldn'T Beat A Serious Go Player, To Defeating A World Champion. Behind This Progress Is Deep Learninga Combination Of Engineering Advances, Best Practices, And Theory That Enables A Wealth Of Previously Impossible Smart Applications.About The Bookdeep Learning With Python Introduces The Field Of Deep Learning Using The Python Language And The Powerful Keras Library. Written By Keras Creator And Google Ai Researcher Fran?Ois Chollet, This Book Builds Your Understanding Through Intuitive Explanations And Practical Examples. You'Ll Explore Challenging Concepts And Practice With Applications In Computer Vision, Naturallanguage Processing, And Generative Models. By The Time You Finish, You'Ll Have The Knowledge And Handson Skills To Apply Deep Learning In Your Own Projects.What'S Insidedeep Learning From First Principles Setting Up Your Own Deeplearning Environment Imageclassification Models Deep Learning For Text And Sequences Neural Style Transfer, Text Generation, And Image Generationabout The Readerreaders Need Intermediate Python Skills. No Previous Experience With Keras, Tensor Flow, Or Machine Learning Is Required.About The Authorfran?Ois Chollet Works On Deep Learning At Google In Mountain View, Ca. He Is The Creator Of The Keras Deeplearning Library, As Well As A Contributor To The Tensor Flow Machinelearning Framework. He Also Does Deeplearning Research, With A Focus On Computer Vision And The Application Of Machine Learning To Formal Reasoning. His Papers Have Been Published At Major Conferences In The Field, Including The Conference On Computer Vision And Pattern Recognition (Cvpr), The Conference And Workshop On Neural Information Processing Systems (Nips), The International Conference On Learning Representations (Iclr), And Others.Table Of Contentspart 1 Fundamentals Of Deep Learning What Is Deep Learning? Before We Begin: The Mathematical Building Blocks Of Neural Networks Getting Started With Neural Networks Fundamentals Of Machine Learning Part 2 Deep Learning In Practice Deep Learning For Computer Vision Deep Learning For Text And Sequences Advanced Deeplearning Best Practices Generative Deep Learning Conclusions Appendix A Installing Keras And Its Dependencies On Ubuntu Appendix B Running Jupiter Notebooks On An Ec2 Gpu Instance.