{"product_id":"deep-learning-with-python-2nd-edition","title":"Deep Learning with Python, 2nd Edition (1617296864)","description":"\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eBuy Deep Learning with Python, 2nd Edition Online\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eDeep Learning with Python\u003c\/strong\u003e\u003cspan\u003e, 2nd Edition \u003cstrong\u003e(\u003c\/strong\u003e\u003c\/span\u003e\u003cstrong\u003eISBN-13 9781617296864\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e)\u003c\/strong\u003e is the \u003c\/span\u003e\u003cstrong\u003eDeep Learning With Python Book\u003c\/strong\u003e\u003cspan\u003e written by \u003c\/span\u003e\u003cstrong\u003eFrançois Chollet\u003c\/strong\u003e\u003cspan\u003e, the person who created \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e. That is not incidental: it means every explanation of how the Keras deep learning library works comes from the engineer who designed its API from the ground up, and that author-to-tool relationship gives this book a clarity and insight that no other deep learning with python resource can replicate.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003ePublished by Manning in December 2021, this 2nd Edition is updated for \u003c\/span\u003e\u003cspan\u003eTensorFlow\u003c\/span\u003e\u003cspan\u003e 2, the modern integrated \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e API, and the newer architectures such as transformers and diffusion models that have reshaped what is possible with deep learning since the 1st Edition appeared in 2017.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eAbout This Deep Learning with Python Book\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan\u003edeep learning with python francois chollet\u003c\/span\u003e\u003cspan\u003e approach is code-first throughout. Rather than spending the first third of the book building mathematical foundations before you write a single line of code, this \u003c\/span\u003e\u003cspan\u003eDeep Learning With Python book\u003c\/span\u003e\u003cspan\u003e puts working models in your hands in the first chapter and then explains what they are doing and why. That sequence feels more like learning from a practitioner than studying from a textbook, which is why it works for people who have struggled with more theory-heavy resources.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe \u003c\/span\u003e\u003cspan\u003ekeras deep learning book\u003c\/span\u003e\u003cspan\u003e coverage is thorough enough to take you from a complete beginner at deep learning to someone who can build, train, and evaluate image classifiers, text models, and generative systems using the tools that production ML teams actually use. The \u003c\/span\u003e\u003cspan\u003efrancois chollet deep learning\u003c\/span\u003e\u003cspan\u003e framework of explanation gives you the intuition for each concept before the code, the code to build it, and the context to know when and why to use the approach in real projects.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eWhat You Will Learn from Deep Learning with Python\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eCore neural network mechanics: how tensors, operations, and backpropagation work before you need to think about them explicitly\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eBuilding and training deep learning models with \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e and \u003c\/span\u003e\u003cspan\u003eTensorFlow\u003c\/span\u003e\u003cspan\u003e 2 from data preprocessing to evaluation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eConvolutional neural networks for computer vision: image classification, feature extraction, and segmentation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eSequence models: RNNs, LSTMs, and text processing for this \u003c\/span\u003e\u003cspan\u003eneural networks with python book\u003c\/span\u003e\u003cspan\u003e approach to NLP\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eTransformer architectures: how self-attention works and why transformers have replaced most sequence models\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eGenerative deep learning: variational autoencoders, GANs, and diffusion models for image generation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eAdvanced \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e patterns: custom layers, custom training loops, and multi-input and multi-output models\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eBest practices: regularization, hyperparameter tuning, callbacks, and debugging failed training runs\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eModel deployment: saving, exporting, and serving trained models for production use\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eKey Features of Deep Learning with Python, 2nd Edition\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eThe definitive \u003c\/span\u003e\u003cstrong\u003eDeep Learning With Python Book\u003c\/strong\u003e\u003cspan\u003e by the creator of \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cstrong\u003eDeep Learning With Python 2nd Edition\u003c\/strong\u003e\u003cspan\u003e: fully updated for \u003c\/span\u003e\u003cspan\u003eTensorFlow\u003c\/span\u003e\u003cspan\u003e 2, transformers, and diffusion models\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003e504 pages, code-first from fundamentals through advanced generative models\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eThe most authoritative \u003c\/span\u003e\u003cstrong\u003ekeras deep learning book\u003c\/strong\u003e\u003cspan\u003e available, written by Keras creator \u003c\/span\u003e\u003cstrong\u003eFrançois Chollet\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003ePublished by Manning Publications, December 2021\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eCovers computer vision, NLP, transformers, and generative AI in one volume\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e    \u003cstrong\u003e \u003c\/strong\u003e\u003c\/span\u003e\u003cstrong\u003eISBN-13 9781617296864\u003c\/strong\u003e\u003cspan\u003e, authentic original Manning paperback\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e•\u003c\/span\u003e\u003cspan\u003e     \u003c\/span\u003e\u003cspan\u003eFree standard US shipping on every order\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eWho Should Read This Deep Learning with Python Book?\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003ePython developers who want to move into deep learning will find this the most direct path. If you already write Python and you want to start building neural networks without first becoming a linear algebra expert, this book gets you building real models fast. Software and web engineers who want to add python ai capabilities to their projects use it to learn enough deep learning to implement the features their work requires.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eData scientists and analysts who have used machine learning at the API level and want to understand what is happening inside their models will find this \u003c\/span\u003e\u003cspan\u003epython ai book\u003c\/span\u003e\u003cspan\u003e fills that gap without overwhelming them with theory. Anyone who has tried a \u003c\/span\u003e\u003cspan\u003emachine learning with python book\u003c\/span\u003e\u003cspan\u003e and found themselves stalled on math or theory will find Chollet's code-first style much more accessible.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eComputer science students who want applied deep learning experience alongside their coursework, and anyone preparing for a machine learning engineering role who needs hands-on \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e and \u003c\/span\u003e\u003cspan\u003eTensorFlow\u003c\/span\u003e\u003cspan\u003e 2 experience, will find this book gives them both the concepts and the practical skills their next employer expects.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eWhy Choose Deep Learning with Python, 2nd Edition?\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThere are many deep learning books, but this is the only one where the author of the library and the author of the book are the same person. The \u003c\/span\u003e\u003cspan\u003edeep learning with python francois chollet\u003c\/span\u003e\u003cspan\u003e combination means that every design decision in \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e, every API choice, and every training pattern in this book is explained by someone who made those decisions. That insider knowledge produces a level of explanation that no other resource offers.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThe 2nd Edition is also the version the field is at today. The 1st Edition from 2017 predates \u003c\/span\u003e\u003cspan\u003eTensorFlow\u003c\/span\u003e\u003cspan\u003e 2, the transformer revolution, and the emergence of diffusion models as a practical tool. If you are going to invest time in learning \u003c\/span\u003e\u003cspan\u003eDeep Learning With Python\u003c\/span\u003e\u003cspan\u003e, the 2nd Edition is the one to learn from because it teaches the tools and approaches currently used in production, not the tools of five years ago.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eWhy Buy from Wisdom Hatch Inc.?\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eWisdom Hatch Inc. is a US-based professional and technical online bookstore focused on authentic, current editions of the programming and AI references that developers actually use. Every copy of \u003c\/span\u003e\u003cspan\u003eDeep Learning with Python\u003c\/span\u003e\u003cspan\u003e we sell is a genuine Manning paperback, brand new.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll orders come with secure checkout, free standard shipping to all US states, territories, and APO and FPO addresses, and responsive support at wisdomhatchinc@gmail.com. Buy your \u003c\/span\u003e\u003cspan\u003eDeep Learning With Python Book\u003c\/span\u003e\u003cspan\u003e from Wisdom Hatch Inc. and get the definitive \u003c\/span\u003e\u003cspan\u003eKeras\u003c\/span\u003e\u003cspan\u003e resource delivered reliably.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch2 dir=\"ltr\"\u003e\u003cspan\u003eFrequently Asked Questions\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: What is Deep Learning with Python, 2nd Edition about?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: It is a hands-on deep learning book by François Chollet, the creator of Keras, that teaches how to build neural networks and AI applications using Python, Keras, and TensorFlow 2. The 2nd Edition adds coverage of transformers, diffusion models, and modern best practices.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: What is the ISBN-13 for Deep Learning with Python, 2nd Edition?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: The ISBN-13 is 9781617296864 (ISBN-10: 1617296864). Published by Manning Publications, December 2021.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: Is this suitable for beginners?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: It requires basic Python programming knowledge but no prior deep learning experience. It builds from fundamentals up. Readers who do not yet know Python should learn the language basics first before starting this book.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: Why is François Chollet's authorship significant?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: Francois Chollet is the creator of Keras, the deep learning library this book teaches. That means the explanations of how Keras works come from the person who designed it, giving this book a depth of insight that no third-party author can replicate.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: Does this cover TensorFlow?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: Yes. The 2nd Edition uses TensorFlow 2 and the integrated modern Keras API throughout. It also covers newer topics including transformers and diffusion models that were not in the 1st Edition.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eQ: Is this an original Manning paperback?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eA: Yes. Wisdom Hatch Inc. sells an authentic original Manning paperback of Deep Learning with Python, 2nd Edition by François Chollet.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Wisdom Hatch Inc.","offers":[{"title":"Default Title","offer_id":50659278323951,"sku":null,"price":49.01,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0836\/3697\/7903\/files\/deep-learning-with-python-2nd-edition-cover.jpg?v=1788333735","url":"https:\/\/www.wisdomhatchinc.com\/products\/deep-learning-with-python-2nd-edition","provider":"Online Bookstore | Professional \u0026 Technical Reference Books | Wisdomhatch","version":"1.0","type":"link"}