I am able to use Keras more effectively to quickly try different architectures. Reviewed in Canada on February 16, 2018. I cannot recommend this book highly enough. He begins by going straight into our first neural network, stating that "we have to start somewhere", which is a very good philosophy. It also analyzes reviews to verify trustworthiness. Also love the explanations in code instead of in mathematics. Use the power of deep learning with Python to build and deploy intelligent web applications. Read Deep Learning Using Python book reviews & author details and more at Amazon… If you want to get started with Keras, deep learning, neural networks and all that - this is one of the best books I've ever seen. The code examples use the Python deep-learning framework Keras, with Tensor- Flow as a back-end engine. Good luck finding one as good. Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Then, it gradually introduces more complex models like convolutional and recurrent networks in an easy to understand way. .list-item-image{height:3.5rem;width:3.5rem}.list-profile-image{height:3.5rem;width:3.5rem;overflow:hidden;border-radius:50%}.atwl-list-name{display:inline-block;max-width:13.5rem;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;padding-left:3%}.atwl-list-name-expand{display:inline-block;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;padding-left:5px}.list-profile-image-column{vertical-align:baseline!important}.atwl-privacy{padding-left:.5rem;position:relative;display:inline-block;bottom:.5rem}#heart-background{background-color:#fff;opacity:.95;margin-bottom:.5rem;margin-left:.5rem;width:3.3rem;height:3.3rem;border-radius:3.3rem}.list-heart-sprite{float:left;display:inline-block;max-width:3rem}.list-heart{z-index:95;position:absolute;left:0;bottom:0;padding:1rem}.text-dark-sky-color{color:#00464F}#heart-list-name{color:#00464F;border-bottom:solid 2px #82D8E2;line-height:2.5rem}.heart-dropdown{margin-left:1rem;display:inline-block}.list-heart-underline{border-bottom:solid 2px #82D8E2}#heart-added-toast-contents,#heart-removed-toast-contents{float:left;padding-bottom:1rem;margin-left:4rem;display:inline-flex}.heart-toast-text{overflow:hidden;display:inline-block;text-overflow:ellipsis;white-space:nowrap}#heart,#heart-background,#unheart{position:absolute;left:0;bottom:0}.list-heart-sprite-simple{background-size:4.3rem 4.3rem;background-position:0rem 1.7rem;background-repeat:no-repeat;display:inline-block;position:absolute;left:0;bottom:0;max-width:6rem!important}.list-heart-simple{position:absolute;left:0;bottom:0}.list-heart .list-heart-state-saved{background-image:url(https://m.media-amazon.com/images/G/01/wishlist/heart_saved_mob_2x._CB454125771_.png);width:6rem;height:6rem}.list-heart .list-heart-state-save{background-image:url(https://m.media-amazon.com/images/G/01/wishlist/heart_save_mob_2x._CB464597060_.png);width:6rem;height:6rem}.heart-notification{background-color:#464646;position:fixed;left:0;bottom:-15%;z-index:9999;width:100%;height:4.5rem;font-size:1.2rem}.heart-notification-text{color:#fff;font-size:1.2rem;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;display:inline-block;max-width:100%} Together with the O'reilly hands on Scikit / Tensorflow book the best AI / deep learning primer to date, Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools, © 1996-2020, Amazon.com, Inc. or its affiliates. Technical, Analytical, and Behavioral Skills necessary to become a Data Scientist. As mentioned in the book, the book is for people with some basic understandings of machine learning. Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. Something went wrong. Details. I have Geron's book on machine learning which is good but I was looking for an explanation of what is under the covers behind the python functions in tensorflow. Does this book contain inappropriate content? (window.AmazonUIPageJS ? .iou-actions{margin-bottom:-10px!important}.iou-purchase-reminder{display:none} Are you an author? Unfortunately this second edition is nothing like the first. .quantity-picker{position:relative;margin-top:5px}.quantity-picker .quantity-input-box-layer-with-label{border:1px solid #BCC0C3;border-radius:4px;height:47px;padding-top:1px;display:table;width:100%}.quantity-picker.open .quantity-input-box-layer-with-label{border-radius:4px 4px 0 0}.quantity-picker .quantity-text-input-disabled{cursor:not-allowed}.quantity-picker .quantity-text-input-with-label{width:100%;border:3px solid #fff;border-radius:6px;box-shadow:none;font-weight:700;font-size:14px;padding-left:5px}.quantity-picker .quantity-text-input-with-label:focus{background:#E8EAEB;border:3px solid #fff;box-shadow:none;padding-left:7px}.quantity-picker .quantity-input-box-container{display:table-row}.quantity-picker .quantity-text-input-container{display:table-cell;padding:2px}.quantity-picker .quantity-text-input-label{display:table-cell;vertical-align:middle;padding-left:7px;padding-bottom:1px;width:1%;white-space:nowrap}.quantity-picker .quantity-discount-table{display:none;position:absolute;background:#fff;border:0 1px 1px solid #BCC0C3;left:0;right:0;text-align:left;padding:0;margin:0;z-index:299;border-radius:0 0 4px 4px}.quantity-picker.open .quantity-discount-table{display:block}.quantity-picker .qdt-ul{margin-left:0}.quantity-picker .qdt-dropdown-option-no-saving-message{display:table;width:100%;line-height:40px;font-size:12px}.quantity-picker .qdt-dropdown-option-no-saving-message .option-tier{vertical-align:middle;display:table-cell;color:#000;width:5%;padding-left:9px;text-align:left}.quantity-picker .qdt-dropdown-option-no-saving-message .option-price{vertical-align:middle;color:#B02302;display:table-cell;width:95%;padding-right:8px;text-align:right;font-size:12px;margin-left:-25px}.quantity-picker .qdt-dropdown-option-regular{display:table;width:100%}.quantity-picker .qdt-dropdown-option-regular .option-tier{vertical-align:middle;display:table-cell;color:#000;width:5%;padding-left:9px;text-align:left;line-height:40px;font-size:12px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message{vertical-align:middle;color:#c00;display:table-cell;width:95%;padding-right:8px;float:right;text-align:right;margin-top:5px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message .option-price{color:#B02302;font-size:12px;margin-left:-25px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message .option-saving-message{color:#767676;font-size:10px;font-style:italic;margin-left:-30px;margin-top:-3px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message .option-unlocked-saving-message-icon{display:inline-block;transform:rotate(45deg);height:8px;width:4px;border-bottom:1px solid #008A00;border-right:1px solid #008A00;margin-right:2px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message .option-unlocked-saving-message{color:#008A00;font-size:10px;font-style:italic;margin-left:-30px;margin-top:-5px}.quantity-picker .qdt-dropdown-option-regular .option-price-and-message .option-availability-message{color:#767676;font-size:10px;font-style:italic;margin-left:-30px;margin-top:-3px}.quantity-picker .qdt-dropdown-option-load-more{color:#696969;font-size:12px;vertical-align:middle;text-align:center;padding:10.5px 8px 10.5px 9px}.quantity-picker .qdt-dropdown-option-fetch-in-progress{color:#696969;font-style:italic;font-size:13px;vertical-align:middle;text-align:center;font-weight:lighter;line-height:25px}.quantity-picker .qdt-dropdown-option-link{font-size:12px;vertical-align:middle;text-align:center;padding:10.5px 8px 10.5px 9px}.quantity-picker .qdt-dropdown-option-request-for-olp{font-size:12px;vertical-align:middle;text-align:center;padding:10.5px 8px 10.5px 9px}.quantity-picker .qdt-dropdown-option-fetch-in-progress .fetching-in-progress-img{vertical-align:middle}.quantity-picker .quantity-discount-table .qdt-dropdown-item{display:block;border:1px solid #BCC0C3;border-top:none}.quantity-picker .quantity-discount-table .qdt-dropdown-item.qdt-active{border-color:#BCC0C3;border-left:3px solid #E55D16}.quantity-picker .quantity-discount-table .qdt-dropdown-item.qdt-inactive{border-color:#BCC0C3}.quantity-picker .quantity-discount-table .qdt-dropdown-item:hover{background-color:#F4F4F5;cursor:pointer}.quantity-picker .quantity-discount-table .qdt-dropdown-item.qdt-inactive:hover{background-color:#fff;color:inherit}.quantity-picker .quantity-discount-table .qdt-dropdown-item:last-child{border-radius:0 0 4px 4px}.b2bhawks-best-quantity-savings-message{color:#fff;background-color:#555;padding:0 6px}.freeQuantityTextInput{width:55px} My own class of undergrads was building DLNN models to do sophisticated image recognition tasks after just a few weeks. If you’re a data scientist familiar with machine learning, this book will provide you with a solid, practical introduction to deep learning, the fastest-growing and most significant subfield of machine learning, If you’re a deep-learning expert looking to get started with the Keras framework, you’ll find this book to be the best Keras crash course available, If you’re a graduate student studying deep learning in a formal setting, you’ll find this book to be a practical complement to your education, helping you build intuition around the behavior of deep neural networks and familiarizing you with key best practices. }); background: url("https://images-na.ssl-images-amazon.com/images/G/01/amazonui/loading/loading-4x._V1_.gif") center center no-repeat; If the paperback book I received didn't look and feel like an illegal physical copy or a rather poor quality physical product, I'd be giving it 5 stars, so 3 stars here is for the crappy production quality and not for the content. The author makes clear their belief that a Linux system is required to do the examples in the book. Full content visible, double tap to read brief content. AmazonUIPageJS : P).load.js('https://images-na.ssl-images-amazon.com/images/I/31Q4RNPCjTL.js?AUIClients/MonthlyPaymentsDetailPageAssets&X6KuZNYM#mobile.us.209620-T1'); A nostalgic story set in early years of IBM PC era. If you have taken some deep learning classes on Coursera, such as deeplearning.ai or fast.ai class, this book will serve as a refresher and a good tutorial to implement ideas in Keras. Do you believe that this item violates a copyright? AmazonUIPageJS : P).load.js('https://images-na.ssl-images-amazon.com/images/I/11GgIcHABOL.js?AUIClients/DetailPageClimatePledgeFriendlyAssets&3MBUHn7h#287015-T1'); Please try again. This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. But if you already explored the field of deep learning, this is a great book to help take your exploration to the next level. This customized machine instance is available in most Amazon EC2 regions for a variety of instance types, from a small CPU-only instance to the latest high-powered multi-GPU instances. To run training and inference on Deep Learning Containers for Amazon ECS using MXNet ... Python 2 Support. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. If you want all the formulas and algorithms behind this - there are better books but if you want to hit the ground running this is the book for you. #ib-text-links-content .a-button-text{text-transform:uppercase}#ib-text-links-content ul{display:flex;display:-webkit-flex;justify-content:center;-webkit-justify-content:center}#ib-text-links-content ul li:not(:first-child){margin-left:15px}#ib-text-links-content ul li{display:inline-block;padding:6px 0 9px;width:100%;max-width:50%}#ib-text-links-content .a-button-focus{border-color:#ADB1B8 #A2A6AC #8D9096;box-shadow:none;-webkit-box-shadow:none}#ib-text-links-content .a-button{border-color:#0066c0;width:100%}#ib-text-links-content .a-button-inner{background:#fff}#ib-text-links-content 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10px}.atc-mobile-toast-container{position:fixed;left:50%;top:50%;z-index:10001}.atc-mobile-message-styles{font-size:16px;color:#FFF;font-weight:700;font-family:arial}.atc-mobile-toast-overlay-styles{position:absolute;top:0;left:0;z-index:10000;opacity:.6;height:30000px;background-color:#fff;width:100%}.atc-checkmark{color:rgba(255,255,255,.6)}#atc-stay-proceed-to-checkout-container{position:sticky;-webkit-position:sticky;top:0;z-index:100;width:100%;background:linear-gradient(to bottom,#fff,#f7f7f7);border-bottom:1px solid #CCC} Provides a good roadmap for further learning, Reviewed in the United Kingdom on August 7, 2020. I have taken the machine learning class in Coursera but the first two chapters in this book brough a whole new level of clarity to all the concepts. (window.AmazonUIPageJS ? TensorFlow™ enables developers to quickly and easily get started with deep learning in the cloud. If not the best. More useful for those that have not been working long with deep learning and would like an introduction. These ebooks can only be redeemed by recipients in the US. Shipping cost, delivery date, and order total (including tax) shown at checkout. For example, he doesn't use math equations to explain the theory of neural network but turn to Python code... Just finished the first three chapters of this book and you can really feel the enthusiasm of the author. For details, please see the Terms & Conditions associated with these promotions. Includes initial monthly payment and selected options. $39.99 — Kindle Most of the other books I read only talked about Sequential models. With the wide range of on-demand resources available through the cloud, you can deploy virtually unlimited resources to tackle deep learning models of any size. Learn about AI now so you can be ahead! In Stock. It's not a beginner book. About the Book The author provides that explanation but also adds his perspective on neural networks and valuable insights and historical context. 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#fresh-prime-offer-or-image{margin-top:-27px}.fresh-prime-offer-desktop .a-icon-arrow{float:right;margin-top:5px}.fresh-prime-offer-common form{margin-bottom:0}.fresh-prime-offer-mobile{margin-right:-39px!important;margin-left:-18px!important;border-width:1px 0 5px 0}.fresh-prime-offer-mobile .a-icon-arrow{float:right}.fresh-prime-offer-mobile .fresh-prime-offer-price-mobile{font-size:1.5rem!important;line-height:1.25!important}.fresh-prime-offer-divider{margin-bottom:2rem}.alm-mod-logo{padding-right:1%;vertical-align:baseline}.alm-mod-sfsb-column{line-height:0} The new Deep Learning AMIs for Amazon Linux and Ubuntu come pre-installed with Python environments for deep learning created using Conda – a popular open source package and environment management tool. I'm a CS professor, and I chose this for my course in Deep Learning last term. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. * Copyright 2013 jQuery Foundation and other contributors Licensed MIT */.ask-autocomplete{position:relative;top:0;left:0;cursor:default}.ask-autocomplete-menu{list-style:none;padding:0;margin:0;display:block;outline:0;border-radius:.3rem;position:relative}.ask-autocomplete-menu .ask-autocomplete-menu-item{margin:0;padding:0;width:100%;list-style:none}.ask-autocomplete-menu .ask-autocomplete-menu-item a{text-decoration:none;display:block;padding:1px 10px;line-height:2;min-height:0;font-weight:400}.ask-autocomplete-menu .ask-autocomplete-menu-item a.ask-autocomplete-state-active,.ask-autocomplete-menu .ask-autocomplete-menu-item a.ask-autocomplete-state-focus{font-weight:400;margin:0;background:#eee}.ask-autocomplete-menu-item-first{padding-top:10px!important}.ask-autocomplete-menu-item-last{padding-bottom:10px!important}.ask-autocomplete-menu .ask-state-disabled{font-weight:400;line-height:1.5}.ask-autocomplete-menu .ask-state-disabled a{cursor:default}.ask-autocomplete-widget{font-family:'Amazon Ember';font-size:1.1em}.ask-autocomplete-widget .ask-autocomplete-widget{font-size:1em}.ask-autocomplete-widget input,.ask-autocomplete-widget select,.ask-autocomplete-widget-content{border:1px solid #ddd;color:#333}.ask-autocomplete-widget-content a{color:#333}.ask-autocomplete-state-active a{color:#eb8f00;text-decoration:none} Good summary and introduction to deep learning. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Not sure it states it in the product info but when you buy the book you can register it and get a Kindle / PDF / EPub version for free. I have tried the examples under Windows 10/Anaconda 3 and they simply work. The removed material was unique in the way it explained the importance and history of deep learning, and the added value of that material has been lost. Find helpful customer reviews and review ratings for Deep Learning with Python at Amazon.com. I don't think I can recommend this book highly enough. Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. 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inset}.a-mom-link-row{padding-left:45px}#snsPitchPrice_feature_div{display:none;visibility:hidden}#priceblock_snsprice_row{display:none;visibility:hidden}#onmlPriceBlockUpsellText{display:none;visibility:hidden}.snsCompactDropdowns{white-space:nowrap}.snsCompactDropdowns .a-dropdown-label{font-weight:700}.momPopoverFooter{border-top:1px solid #CCC;padding-top:10px;margin-top:10px} #creturnsPolicyBottomSheetContent{padding:10px} DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition.. .background_color_0{background-color:#4096EE}.background_color_1{background-color:orange}.background_color_2{background-color:green}.background_color_3{background-color:purple}#boost_feature_rank .image_background img{position:absolute;top:30%;left:30%;height:40%;width:40%}#boost_feature_rank 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