࿬ Download [ Deep Learning with Python ] For Free ᕭ Book Author Francois Chollet ᩭ

࿬ Download  [ Deep Learning with Python ] For Free ᕭ Book Author Francois Chollet ᩭ ࿬ Download [ Deep Learning with Python ] For Free ᕭ Book Author Francois Chollet ᩭ Summary Deep 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 Franois 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 Technology Machine learning has made remarkable progress in recent years We went from near unusable speech and image recognition, to near human 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 Book Deep 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 Franois Chollet, this book builds your understanding through intuitive explanations and practical examples You ll explore challenging concepts and practice with applications in computer vision, natural language processing, and generative models By the time you finish, you ll have the knowledge and hands on skills to apply deep learning in your own projects What s Inside Deep learning from first principlesSetting up your own deep learning environment Image classification modelsDeep learning for text and sequencesNeural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills No previous experience with Keras, TensorFlow, or machine learning is required. About the Author Franois Chollet works on deep learning at Google in Mountain View, CA He is the creator of the Keras deep learning library, as well as a contributor to the TensorFlow machine learning framework He also does deep learning 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 Contents PART 1 FUNDAMENTALS OF DEEP LEARNING What is deep learning Before we begin the mathematical building blocks of neural networks Getting started with neural networksFundamentals of machine learningPART 2 DEEP LEARNING IN PRACTICEDeep learning for computer visionDeep learning for text and sequencesAdvanced deep learning best practicesGenerative deep learningConclusionsappendix A Installing Keras and its dependencies on Ubuntuappendix B Running Jupyter notebooks on an EC2 GPU instance Manning Deep Learning with R The clearest explanation of deep learning I have come acrossit was a joy to read What Is How It Works, Techniques is machine technique that teaches computers do what comes naturally humans learn by example key technology behind driverless cars, enabling them recognize stop sign, or distinguish pedestrian from lamppost the voice Deep Coursera deeplearning If you want break into AI, this Specialization will help so one most highly sought after skills in tech We become good at In five courses, With Tensorflow Course BDU This free TensorFlow course provides solid introduction use analyze unstructured data Python Machine Mastery Get started today Rapidly build models for Theano and using Keras library your copy Towards Data Science main reason idea that, artificial intelligence should draw inspiration brain perspective gave rise MIT Technology Review massive amounts computational power, machines can now objects translate speech real time Artificial Francois Chollet on FREE shipping qualifying offers Summary introduces field language powerful Written creator Google AI researcher Franois DataCamp exciting capabilities diverse areas like robotics, natural processing, image recognition Udacity fastest growing fields out there, represents its true bleeding edge course, ll get an overview all about Partnering Vincent Vanhoucke, Principal Scientist Google, technical lead Brain team, we teach how builds NVIDIA Developer subset uses multi layered neural 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    • Deep Learning with Python
    • 3.1
    • 260
    • 384 pages
    • 1617294438
    • Francois Chollet
    • English
    • 15 June 2016

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