Title
Deep Learning With Python
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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.
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- Q: How many pages are in 'Deep Learning with Python'? A: This book has three hundred eighty-four pages. It provides a comprehensive overview of deep learning concepts and practical applications.
- Q: What is the binding type of 'Deep Learning with Python'? A: The binding type is paperback. This makes it lightweight and easy to handle for reading and reference.
- Q: What are the dimensions of 'Deep Learning with Python'? A: The dimensions are seven point thirty-eight inches in length, zero point eight inches in width, and nine point twenty-five inches in height. These measurements make it a convenient size for portability.
- Q: What level of Python knowledge do I need to read this book? A: You need intermediate Python skills to read this book. It is designed for readers who have some coding experience but no prior knowledge of Keras or TensorFlow.
- Q: Can beginners understand 'Deep Learning with Python'? A: No, beginners may find it challenging. The book assumes a foundational understanding of Python and some familiarity with programming concepts.
- Q: Is this book suitable for someone interested in artificial intelligence? A: Yes, this book is ideal for anyone interested in artificial intelligence. It covers deep learning techniques that are pivotal in AI applications.
- Q: How should I care for my paperback copy of 'Deep Learning with Python'? A: Keep it away from fire and moisture. Store it in a cool, dry place to maintain its condition over time.
- Q: Is 'Deep Learning with Python' safe to handle for children? A: Yes, the book itself is safe to handle, but it is not specifically targeted for children. The content is technical and may require adult supervision.
- Q: What is the best way to store this book? A: Store it upright on a shelf or in a bookcase. Avoid placing heavy items on top of it to prevent damage to the spine.
- Q: What if my copy of 'Deep Learning with Python' arrives damaged? A: You should contact the seller or retailer directly for return or replacement options. Most retailers have policies in place for damaged books.
- Q: Is there a warranty for 'Deep Learning with Python'? A: Generally, books do not come with a warranty. However, check with the retailer for any specific return policies.
- Q: Can I return 'Deep Learning with Python' if I don't like it? A: Yes, return policies vary by retailer. Make sure to check the specific conditions under which returns are accepted.
- Q: How does 'Deep Learning with Python' compare to other deep learning books? A: This book is unique as it is authored by François Chollet, the creator of Keras. It offers practical insights and examples that are not found in many other books.
- Q: Is 'Deep Learning with Python' focused more on theory or practical applications? A: It balances both theory and practical applications. You will find intuitive explanations alongside hands-on projects.
- Q: What topics does 'Deep Learning with Python' cover? A: It covers topics like image classification, text generation, and neural style transfer. These are crucial for understanding modern deep learning techniques.