Es wurden 61 Produkte zu dem Suchbegriff tensorflow in 9 Shops gefunden:
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Programming With Tensorflow Kartoniert (TB)
Anbieter: Weltbild.de Preis: 69,54 €This practical book provides an end-to-end guide to TensorFlow the leading open source software library that helps you build and train neural networks for deep learning Natural Language Processing (NLP) speech recognition and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN RNN LSTM and GNN. The book is written for those who want to build powerful robust and accurate predictive models with the power of TensorFlow combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).
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Deep Learning mit TensorFlow, Keras und TensorFlow.js - Matthieu Deru, Alassane Ndiaye
Anbieter: Buecher.de Preis: 39,90 €Deep Learning mit TensorFlow, Keras und TensorFlow.js - Buch Deep Learning - eine Schlüsseltechnologie der Künstlichen Intelligenz. Neuronale Netze bringen Höchstleistung, wenn sie zu Deep-Learning-Modellen verknüpft werden - vorausgesetzt, Sie machen...
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Tensorflow Pocket Primer - Oswald Campesato Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €No detailed description available for TensorFlow Pocket Primer.
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Deep Learning mit TensorFlow, Keras und TensorFlow.js - Matthieu Deru, Alassane Ndiaye, Gebunden
Anbieter: Weltbild.de Preis: 39,90 €Deep Learning - eine Schlüsseltechnologie der Künstlichen Intelligenz. Neuronale Netze bringen Höchstleistung, wenn sie zu Deep-Learning-Modellen verknüpft werden - vorausgesetzt, Sie machen es richtig. Große und gute Trainingsdaten beschaffen, geschickt implementieren ... lernen Sie hier, wie Sie die mächtige Technologie wirklich in Ihren Dienst nehmen. Unsere Autoren zeigen Ihnen sowohl die Arbeit mit Python und Keras als auch für den Browser mit JavaScript, HTML5 und TensorFlow.js. Aus dem Inhalt: Deep-Learning-Grundkonzepte Installation der Frameworks Vorgefertigte Modelle verwenden Datenanalyse und -vorbereitung Convolutional Networks, LSTM, RNN, Pooling ... Aufgaben eines Modells richtig festlegen Eigene Modelle trainieren Overfitting und Underfitting vermeiden Ergebnisse visualisieren
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Learn Tensorflow 2.0 - Pramod Singh Avinash Manure Kartoniert (TB)
Anbieter: Weltbild.de Preis: 48,14 €Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters. You'll review sequence predictions saving serving deploying and standardized datasets and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways. What You'll Learn Review the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples Who This Book Is For Data scientists machine and deep learning engineers.
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Einführung in TensorFlow - Tom Hope, Yehezkel S. Resheff, Itay Lieder
Anbieter: Buecher.de Preis: 32,90 €Einführung in TensorFlow - Buch Deep-Learning-Netze, die mit großen Datenmengen trainiert werden, lösen komplexe Aufgaben mit erstaunlicher Genauigkeit. Dieses Buch ist eine praktische Einführung in TensorFlow, die führende...
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Tensorflow 2 Pocket Primer - Oswald Campesato Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €As part of the best-selling Pocket Primer series this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various core features of TensorFlow with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs CNNs RNNs and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com. Features: Uses Python for code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs MLPs RNNs LSTMs Features the companion files with all of the source code examples and figures (download from the publisher)
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Aurelien Geron
Anbieter: Buecher.de Preis: 74,99 €Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - Buch This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive...
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Deep Learning Projects Using Tensorflow 2 - Vinita Silaparasetty Kartoniert (TB)
Anbieter: Weltbild.de Preis: 80,24 €Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. What You'll Learn Grasp the basic process of neural networks through projects such as creating music Restore and colorize black and white images with deep learning processes Who This Book Is ForBeginners new to TensorFlow and Python.
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TensorFlow 2 Pocket Primer - Oswald Campesato, Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various core features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by emailing proof of purchase to info@merclearning.com. Features: Uses Python for code samples Covers TensorFlow 2 APIs and Datasets Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of the source code examples and figures (download from the publisher)
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Tensorflow 2.X In The Colaboratory Cloud - David Paper Kartoniert (TB)
Anbieter: Weltbild.de Preis: 58,84 €Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else-Python TensorFlow 2.x GPU support and Jupyter Notebooks-is provided and ready to go from Colab. The book begins with an introduction to TensorFlow 2.x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network application. From there you will progress into TensorFlow datasets and building input pipelines in support of modeling and testing. You will find coverage of deep learning classification and regression with clear code examples showing how to perform each of those functions. Advanced topics covered in the book include convolutional neural networks and recurrent neural networks. This book contains all the applied math and programming you need to master the content. Examples range from simple to relatively complex when necessary to ensure acquisition of appropriate deep learning concepts and constructs. Examples are carefully explained concise accurate and complete to perfectly complement deep learning skill development. Care is taken to walk you through the foundational principles of deep learning through clear examples written in Python that you can try out and experiment with using Google Colab from the comfort of your own home or office. What You Will Learn Be familiar with the basic concepts and constructs of applied deep learning Create machine learning models with clean and reliable Python code Work with datasets common to deep learning applications Prepare data for TensorFlow consumption Take advantage of Google Colab's built-in support for deep learning Execute deep learning experiments using a variety of neural network models Be able to mount Google Colab directly to your Google Drive account Visualize training versus test performance to see model fit Who This Book Is For Readers who want to learn the highly popular TensorFlow 2.x deep learning platform those who wish to master deep learning fundamentals that are sometimes skipped over in the rush to be productive and those looking to build competency with a modern cloud service tool such as Google Colab
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TensorFlow Pocket Primer - Oswald Campesato, Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €No detailed description available for TensorFlow Pocket Primer.
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Deep Learning With Swift For Tensorflow - Rahul Bhalley Kartoniert (TB)
Anbieter: Weltbild.de Preis: 64,19 €About this book Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow respectively. You will understand the nuts and bolts of building and training neural networks and build advanced algorithms. What You'll Learn - Understand deep learning concepts - Program various deep learning algorithms - Run the algorithms in cloud Who This Book Is For - Newcomers to programming and/or deep learning and experienced developers. - Experienced deep learning practitioners and researchers who desire to work in user space instead of library space with a same programming language without compromising the speed
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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow - Aurélien Géron
Anbieter: Buecher.de Preis: 54,90 €Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow - Buch Behandelt jetzt viele neue Features von Scikit-Learn sowie die Keras-Tuner-Bibliothek und die NLP-Bibliothek Transformers von Hugging Face Führt Sie methodisch geschickt in...
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Applied Deep Learning With Tensorflow 2 - Umberto Michelucci Kartoniert (TB)
Anbieter: Weltbild.de Preis: 69,54 €Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization optimizers optimization metric analysis and hyper-parameter tuning. In addition you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be openeddirectly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: -Understand the fundamental concepts of how neural networks work-Learn the fundamental ideas behind autoencoders and generative adversarial networks -Be able to try all the examples with complete code examples that you can expand for your own projects -Have available a complete online companion book with examples and tutorials. This book is for: Readers with an intermediate understanding of machine learning linear algebra calculus and basic Python programming.
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Learn TensorFlow 2.0 - Pramod Singh, Avinash Manure, Kartoniert (TB)
Anbieter: Weltbild.de Preis: 48,14 €Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0. It also demonstrates how to build models using customer estimators. Further, it explains how to use TensorFlow 2.0 API to build machine learning and deep learning models for image classification using the standard as well as custom parameters. You'll review sequence predictions, saving, serving, deploying, and standardized datasets, and then deploy these models to production. All the code presented in the book will be available in the form of executable scripts at Github which allows you to try out the examples and extend them in interesting ways. What You'll Learn Review the new features of TensorFlow 2.0 Use TensorFlow 2.0 to build machine learning and deep learning models Perform sequence predictions using TensorFlow 2.0 Deploy TensorFlow 2.0 models with practical examples Who This Book Is For Data scientists, machine and deep learning engineers.
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Pro Deep Learning With Tensorflow 2.0 - Santanu Pattanayak Kartoniert (TB)
Anbieter: Weltbild.de Preis: 64,19 €This book builds upon the foundations established in its first edition with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next you will learn about convolutional neural networks including new convolutional methods such as dilated convolution depth-wise separable convolution and their implementation. You'll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book you'll explore unsupervised learning frameworks that reflect the current state of deep learning methods such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book you will understand the mathematical foundations and concepts of deep learning and be able to use the prototypes demonstrated to build new deep learning applications. What You Will Learn Understand full-stack deep learning using TensorFlow 2.0 Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0 Understand generative adversarial networks graph attention networks and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals software developers graduate students and open source enthusiasts.
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Einführung in TensorFlow - Tom Hope, Yehezkel S. Resheff, Itay Lieder, Kartoniert (TB)
Anbieter: Weltbild.de Preis: 32,90 €Deep-Learning-Netze, die mit großen Datenmengen trainiert werden, lösen komplexe Aufgaben mit erstaunlicher Genauigkeit. Dieses Buch ist eine praktische Einführung in TensorFlow, die führende Open-Source-Softwarebibliothek zum Erstellen und Anlernen von Deep-Learning-Netzen - zum Beispiel für die Sprach- und Bilderkennung, die Verarbeitung natürlicher Sprache (NLP) oder die vorhersagende Datenanalyse.Es bietet einer technisch orientierten Leserschaft einen praktischen Zugang zu den Grundlagen von TensorFlow - von Datenanalytikern und Ingenieuren bis hin zu Studenten und Wissenschaftlern. Zunächst starten Sie mit einigen einfachen Beispielaufgaben mit TensorFlow, anschließend tauchen Sie tiefer in Themen ein wie die Architektur neuronaler Netze, die Visualisierung mit TensorBoard, Abstraktionsbibliotheken für TensorFlow oder Multithread-Pipelines zur Dateneingabe.Wenn Sie dieses Buch durchgearbeitet haben, sind Sie in der Lage, Deep-Learning-Systeme in TensorFlow zu erstellen und im Produktvertrieb einzusetzen.Aus dem Inhalt:- Steigen Sie schnell in die Benutzung von TensorFlow ein.- Lernen Sie von der Pike auf, Deep-Learning-Systeme mit TensorFlow zu modellieren.- Trainieren Sie verbreitete Deep-Learning-Modelle für Computer Vision und Sprachverarbeitung.- Entwickeln Sie schneller und einfacher mit Hilfe von Abstraktionsbibliotheken.- Erfahren SIe, wie Sie TensorFlow skalieren und das Anlernen von Modellen auf Cluster verteilen.- Setzen Sie TensorFlow unter Produktivbedingungen ein.
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Python For Tensorflow Pocket Primer - Oswald Campesato Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €No detailed description available for Python for TensorFlow Pocket Primer.
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Python for TensorFlow Pocket Primer - Oswald Campesato, Kartoniert (TB)
Anbieter: Weltbild.de Preis: 34,95 €No detailed description available for Python for TensorFlow Pocket Primer.
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