machine learning with tensorflow

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scikit‐learn Keras TensorFlowによる実践機械学習 / 原タイトル:Hands‐On Machine Learning with Scikit‐Learn Keras and TensorFlow 原著第3版の翻訳 本/雑誌 / AurelienGeron/著 下田倫大/監訳 牧允皓/監訳 長尾高弘/訳洋書 Paperback, Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd EditionTensorFlow Machine Learning Cookbook Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition【電子書籍】 Nick McClureTinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers【電子書籍】 Pete WardenArtificial Neural Networks with TensorFlow 2 ANN Architecture Machine Learning Projects【電子書籍】 Poornachandra SarangKickstart Artificial Intelligence Fundamentals Master Machine Learning, Neural Networks, and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras (English Edition)【電子書籍】 Dr. S.Mahesh AnandHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (English Edition)Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and Data ScienceMachine Learning with TensorFlow: Learn How to Build Deep Learning Models Using TensorFlow (English Edition)Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers洋書 Manning Publications Paperback, Machine Learning with TensorFlowscikit-learn Keras TensorFlowによる実践機械学習 第3版Mastering Machine Learning with TensorFlow: A Comprehensive Guide for Beginners (English Edition)洋書 Paperback, Hands-On Machine Learning with TensorFlow.js: A guide to building ML applications integrated with web technology using the TensorFlow.js libraryHands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】 Giuseppe BonaccorsoHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】 Aur lien G ronMachine Learning TensorFlow Course: Implement machine learning algorithms using TensorFlow (English Edition)Mastering Computer Vision with TensorFlow 2.x Build advanced computer vision applications using machine learning and deep learning techniques【電子書籍】 Krishnendu Kar【中古】【輸入品 未使用】TinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power MicrocontrollersHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsMastering Predictive Analytics with scikit-learn and TensorFlow Implement machine learning techniques to build advanced predictive models using Python【電子書籍】 Alvaro FuentesPython Machine Learning A Practical Beginner 039 s Guide to Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit-Learn, Tensorflow and Keras【電子書籍】 Railey BrandonHands-On Machine Learning with TensorFlow.js A guide to building ML applications integrated with web technology using the TensorFlow.js library【電子書籍】 Kai SasakiBeginning Machine Learning in the Browser Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js【電子書籍】 Nagender Kumar SuryadevaraMachine Learning Using TensorFlow Cookbook Create powerful machine learning algorithms with TensorFlow【電子書籍】 Alexia AudevartMachine Learning with TensorFlow, Second Edition (English Edition)Natural Language Processing with TensorFlow The definitive NLP book to implement the most sought-after machine learning models and tasks【電子書籍】 Thushan GanegedaraHands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems【中古】Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent SystemsPython Machine Learning: A Step-by-Step Journey with Scikit-Learn and Tensorflow for Beginners【電子書籍】 Chloe Annable
 

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  • ご注文前に必ずご確認ください<商品説明>Pythonを代表する機械学習ライブラリ、scikit‐learn、Keras、TensorFlowを利用し、幅広い分野の機械学習に対応する方法を網羅的に解説した、機械学習エンジニアの必読のベストセラーの改訂版です。この改訂版では、大規模言語モデルや拡散モデルなどの生成AIの基本となるトピックもカバーしています。また、より大規模なデータを使用し、より現実的実践的な問題解決ができるように配慮されています。サンプルコードはノートブック形式で提供されており、実際に手を動かしながら、さまざまな機械学習のニーズに応えられる幅広い知識とスキルを得ることができます。<収録内容>第1部 機械学習の基礎(機械学習の現状機械学習プロジェクトの全体像分類モデルの学習サポートベクターマシン(SVM) ほか)第2部 ニューラルネットと深層学習(人工ニューラルネットワークとKerasの初歩深層ニューラルネットワークの学習TensorFlowで作るカスタムモデルとその学習TensorFlowによるデータのロードと前処理畳み込みニューラルネットワークを使った深層コンピュータビジョン ほか)付録<商品詳細>商品番号:NEOBK-3038701AurelienGeron / Shimo...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>Skip the theory and get the most out of Tensorflow to build production-ready machine learning models</strong></p> <h4>Key Features</h4> <ul> <li>Exploit the features of Tensorflow to build and deploy machine learning models</li> <li>Train neural networks to tackle real-world problems in Computer Vision and NLP</li> <li>Handy techniques to write production-ready code for your Tensorflow models</li> </ul> <h4>Book Description</h4> <p>TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before.</p> <p>With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement le...
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  • <p>Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in sizeーsmall enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.</p> <p>Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary.</p> <ul> <li>Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures</li> <li>Work with Arduino and ultra-low-power microcontrollers</li> <li>Learn the essentials of ML and how to train your own models</li> <li>Train m...
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  • <p>Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects.</p> <p>After learning what's new in TensorFlow 2, you'll dive right into developing machine learning models through applicable projects. This book covers a wide variety of ANN architecturesーstarting from working with a simple sequential network to advanced CNN, RNN, LSTM, DCGAN, and so on. A full chapter is devoted to each kind of network and each chapter consists of a full project describing the network architecture used, the theory behind that architecture, what data set is used, the pre-processing of data, model training, testing and performance optimizations, and analysis.</p> <p>This practical approach can either be used from the beginning through to the end or, if you're already familiar with basic ML models, you can dive right into the application t...
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  • <p><em><strong>Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.</strong></em></p> <p><strong>Key Features</strong><br /> ● Hands-on AI guide with Python, TensorFlow, and Keras implementations.<br /> ● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models.<br /> ● Bridges AI theory with real-world applications and coding exercises.</p> <p><strong>Book Description</strong><br /> AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.</p> <p><strong>Kickstart Artificial Intelligence Fundamentals</strong> is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neur...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>Discover the skill-sets required to implement various approaches to Machine Learning with Python</strong></p> <h4>Key Features</h4> <ul> <li>Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more</li> <li>Build your own neural network models using modern Python libraries</li> <li>Practical examples show you how to implement different machine learning and deep learning techniques</li> </ul> <h4>Book Description</h4> <p>Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.</p> <p>This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used librarie...
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  • <p>Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.</p> <p>With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.</p> <ul> <li>Use Scikit-learn to track an example ML project end to end</li> <li>Explore several models, including support vector machines, decision tre...
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  • <p><strong>Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language</strong></p> <h4>Key Features</h4> <ul> <li>Gain a fundamental understanding of advanced computer vision and neural network models in use today</li> <li>Cover tasks such as low-level vision, image classification, and object detection</li> <li>Develop deep learning models on cloud platforms and optimize them using TensorFlow Lite and the OpenVINO toolkit</li> </ul> <h4>Book Description</h4> <p>Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding ho...
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  • 【中古】【輸入品・未使用】TinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers【メーカー名】Oreilly & Associates Inc【メーカー型番】【ブランド名】O'Reilly Media【商品説明】TinyML: Machine Learning With Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers当店では初期不良に限り、商品到着から7日間は返品を 受付けております。こちらは海外販売用に買取り致しました未使用品です。買取り致しました為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承下さい。速やかにご返金させて頂きます。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、配送⇒当店海外倉庫から取り寄せの場合は10〜30日程度でのお届けとなります。国内到着後、発送の際に通知にてご連絡致します。国内倉庫からの場合は3〜7日でのお届けとなります。 ※離島、北海道、九州、沖縄は遅れる場合がございます。予めご了承下さい。お電話でのお問合せは少人数で運営の為受け付けておりませんので、メールにて...
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  • <p><strong>Learn advanced techniques to improve the performance and quality of your predictive models</strong></p> <h4>Key Features</h4> <ul> <li>Use ensemble methods to improve the performance of predictive analytics models</li> <li>Implement feature selection, dimensionality reduction, and cross-validation techniques</li> <li>Develop neural network models and master the basics of deep learning</li> </ul> <h4>Book Description</h4> <p>Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification and regression problems.</p> <p>This book starts with ensemble methods and their features. You will see that scikit-learn provides tools for choosing hyperparameters for models. As y...
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  • <p>★☆**Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes?**☆★</p> <p>If you responded yes to any of the above questions, you have come to the right place.</p> <p>Machine learning is an incredibly dense topic. It's hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that.</p> <p>Machine learning and artificial intelligence have been used in different machines and applications to improve the user's experience. One can also use machine learning to make data analysis and predicting the output for some data sets easy. All you need to do is choose the right algorithm, train the model and test the model before you apply it on any real-world tool. It is that simple isn't it?</p> <p><strong>★★Apart from this, you will also learn m...
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  • <p><strong>Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively</strong></p> <h4>Key Features</h4> <ul> <li>Build, train and run machine learning models in the browser using TensorFlow.js</li> <li>Create smart web applications from scratch with the help of useful examples</li> <li>Use flexible and intuitive APIs from TensorFlow.js to understand how machine learning algorithms function</li> </ul> <h4>Book Description</h4> <p>TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.</p> <p>Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book...
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  • <p>Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental coding ideas.</p> <p>Using JavaScript programming features along with standard libraries, you'll first learn to design and develop interactive graphics applications. Then move further into neural systems and human pose estimation strategies. For training and deploying your ML models in the browser, TensorFlow.js libraries will be emphasized.</p> <p>After conquering the fundamentals, you'll dig into the wilderness of ML. Employ the ML and Processing (P5) libraries for Human Gait analysis. Building up Gait recognition with themes, you'll come to understand a variety of...
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  • <p><strong>Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more</strong></p> <h4>Key Features</h4> <ul> <li>Deep Learning solutions from Kaggle Masters and Google Developer Experts</li> <li>Get to grips with the fundamentals including variables, matrices, and data sources</li> <li>Learn advanced techniques to make your algorithms faster and more accurate</li> </ul> <h4>Book Description</h4> <p>The independent recipes in Machine Learning Using TensorFlow Cookbook will teach you how to perform complex data computations and gain valuable insights into your data. Dive into recipes on training models, model evaluation, sentiment analysis, regression analysis, artificial neural networks, and deep learning - each using Google's machine learning library, TensorFlow.</p> <p>This cookbook covers the fundamentals of the TensorFlow library, including variables, matrices, and various data sources. You'll disco...
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  • <p>From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models Key Features ? Learn to solve common NLP problems effectively with TensorFlow 2.x ? Implement end-to-end data pipelines guided by the underlying ML model architecture ? Use advanced LSTM techniques for complex data transformations, custom models and metrics Book Description Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures. The book starts by getting readers familiar with NLP and the basics of TensorFlow. Then, it gradually teaches you different facets of Te...
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  • 【中古】Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems【メーカー名】【メーカー型番】【ブランド名】O'Reilly Education & Reference, Human Vision & Language Systems, Machine Learning, Neural Networks, Pattern Recognition, Languages & Tools, Natural Language Processing G?ron, Aur?lien: Author【商品説明】Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems画像はサンプル写真のため商品のコンディション・付属品の有無については入荷の度異なります。商品写真はできる限り実物の色に近づけるよう徹底しておりますが、 お使いのモニター設定、お部屋の照明等により実際の商品と色味が異なる場合がございます。※中古品のため「限定」「初回」「保証」「DLコード」などの表記がありましても、特典・付属品・保証等は付いておりません。※コミック、CD、DVD、VHSは、レンタルアップ品の場合もございます。気になる方は購入前にお問い合わせください。中古品のため使用に影響ない程度...
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  • <p>**Are you a budding programmer eager to delve into the realm of Python Machine Learning?</p> <p>Does the prospect of transitioning your existing programming knowledge to Python leave you perplexed?**</p> <p>Fear not! This comprehensive guide is tailored to address precisely those concerns and assist you in navigating through the intricacies of Python Machine Learning.</p> <p>In "Python Machine Learning: A Comprehensive Beginner's Guide with Scikit-Learn and Tensorflow," you will embark on a journey to unravel the mysteries of:</p> <p>Understanding the essence of machine learning</p> <p>Harnessing the power of Scikit-Learn & Tensorflow</p> <p>Grasping the significance of the 5 V's of Big Data</p> <p>Delving into the world of neural networks using Scikit-Learn</p> <p>Exploring the intersection of machine learning and the Internet of Things (IoT)</p> <p>Implementing the KNN algorithm with precision</p> <p>Deciphering the nuances of determini...
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