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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
Published by BPB Publications 2022-03, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data (English Edition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 33.23
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Keras Deep Learning Cookbook: Over 30 recipes for implementing deep neural networks in Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketPaperback. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 2.27.
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Mastering TensorFlow 2.x (Paperback)
Published by BPB Publications, New Delhi, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
Paperback. Condition: new. Paperback. Work with TensorFlow and Keras for real performance of deep learningKey FeaturesCombines theory and implementation with in-detail use-cases.Coverage on both, TensorFlow 1.x and 2.x with elaborated concepts.Exposure to Distributed Training, GANs and Reinforcement Learning.DescriptionMastering TensorFlow 2.x is a must to read and practice if you are interested in building various kinds of neural networks with high level TensorFlow and Keras APIs. The book begins with the basics of TensorFlow and neural network concepts, and goes into specific topics like image classification, object detection, time series forecasting and Generative Adversarial Networks.While we are practicing TensorFlow 2.6 in this book, the version of Tensorflow will change with time; however you can still use this book to witness how Tensorflow outperforms. This book includes the use of a local Jupyter notebook and the use of Google Colab in various use cases including GAN and Image classification tasks. While you explore the performance of TensorFlow, the book also covers various concepts and in-detail explanations around reinforcement learning, model optimization and time series models.What you will learnGetting started with Tensorflow 2.x and basic building blocks.Get well versed in functional programming with TensorFlow.Practice Time Series analysis along with strong understanding of concepts.Get introduced to use of TensorFlow in Reinforcement learning and Generative Adversarial Networks.Train distributed models and how to optimize them.Who this book is forThis book is designed for machine learning engineers, NLP engineers and deep learning practitioners who want to utilize the performance of TensorFlow in their ML and AI projects. Readers are expected to have some familiarity with Tensorflow and the basics of machine learning would be helpful.Table of Contents1. Getting started with TensorFlow 2.x2. Machine Learning with TensorFlow 2.x3. Keras based APIs4. Convolutional Neural Networks in Tensorflow5. Text Processing with TensorFlow 2.x6. Time Series Forecasting with TensorFlow 2.x7. Distributed Training and DataInput pipelines8. Reinforcement Learning9. Model Optimization10. Generative Adversarial NetworksRead more Mastering TensorFlow 2.x covers theory and implementation of deep learning with TensorFlow and Keras. It includes topics like image classification, GANs, and reinforcement learning. Suitable for ML engineers and practitioners, the book explores TensorFlow 2.x, functional programming, time series analysis, and distributed training. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Neural Network Programming with TensorFlow
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Troubleshooting Docker
Published by Packt Publishing 2017-03, 2017
ISBN 10: 1783552344 ISBN 13: 9781783552344
Language: English
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Troubleshooting Docker
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data (Paperback or Softback)
Published by Bpb Publications 3/22/2022, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
£ 34.39
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Add to basketPaperback or Softback. Condition: New. Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data 1.57. Book.
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Machine Learning with Spark - Second Edition: Develop intelligent, distributed machine learning systems
Published by Packt Publishing 2017-04, 2017
ISBN 10: 1785889931 ISBN 13: 9781785889936
Language: English
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Machine Learning with Spark - Second Edition: Develop intelligent, distributed machine learning systems
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Keras Deep Learning Cookbook
Published by Packt Publishing, United Kingdom, 2018
ISBN 10: 1788621751 ISBN 13: 9781788621755
Language: English
Seller: True Oak Books, Highland, NY, U.S.A.
Association Member: IOBA
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Add to basketPaperback. Condition: Very Good+. First Edition. 238 pages; Very Good condition. No noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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£ 39.30
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Add to basketCondition: New. This book gives you a practical, hands-on understanding of how you can leverage the power of Python and Keras to perform effective deep learning. It presents a unique problem-solution approach to tackle various problems in training different types of neural.
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Add to basketCondition: New. Über den AutorrnrnMohankumar Saraswatipura is a database solutions architect focusing on IBM Db2, Linux, Unix, Windows, and SAP HANA solutions. He is an IBM Champion (2010-2018) and a DB2 s Got Talent 2013 winner. He is also a frequent spea.
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£ 48.70
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Add to basketCondition: New. Über den AutorrnrnMohankumar Saraswatipura is a database solutions architect focusing on IBM Db2, Linux, Unix, Windows, and SAP HANA solutions. He is an IBM Champion (2010-2018) and a DB2 s Got Talent 2013 winner. He is also a frequent spea.
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£ 61.65
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Add to basketCondition: New. Idioma/Language: Inglés. Create scalable machine learning applications to power a modern data-driven business using Spark 2. xAbout This Book* Get to the grips with the latest version of Apache Spark* Utilize Spark's machine learning library to implement predictive analytics* Leverage Spark's powerful tools to load, analyze, clean, and transform your dataWho This Book Is ForIf you have a basic knowledge of machine learning and want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and Python languages. What You Will Learn* Get hands-on with the latest version of Spark ML* Create your first Spark program with Scala and Python* Set up and configure a development environment for Spark on your own computer, as well as on Amazon EC2* Access public machine learning datasets and use Spark to load, process, clean, and transform data* Use Spark's machine learning library to implement programs by utilizing well-known machine learning models* Deal with large-scale text data, including feature extraction and using text data as input to your machine learning models* Write Spark functions to evaluate the performance of your machine learning modelsIn DetailThis book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing Spark in a single and multinode cluster. Next you'll see how to execute Scala and Python based programs for Spark ML. Then we will take a few datasets and go deeper into clustering, classification, and regression. Toward the end, we will also cover text processing using Spark ML. Once you have learned the concepts, they can be applied to implement algorithms in either green-field implementations or to migrate existing systems to this new platform. You can migrate from Mahout or Scikit to use Spark ML. By the end of this book, you will acquire the skills to leverage Spark's features to create your own scalable machine learning applications and power a modern data-driven business. Style and approachThis practical tutorial with real-world use cases enables you to develop your own machine learning systems with Spark. The examples will help you combine various techniques and models into an intelligent machine learning system. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
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£ 53.41
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Add to basketCondition: New. Über den AutorrnrnMohankumar Saraswatipura is a database solutions architect focusing on IBM Db2, Linux, Unix, Windows, and SAP HANA solutions. He is an IBM Champion (2010-2018) and a DB2 s Got Talent 2013 winner. He is also a frequent spea.
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Mastering TensorFlow 2.x (Paperback)
Published by BPB Publications, New Delhi, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
£ 39.13
Convert currency£ 36.72 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Work with TensorFlow and Keras for real performance of deep learningKey FeaturesCombines theory and implementation with in-detail use-cases.Coverage on both, TensorFlow 1.x and 2.x with elaborated concepts.Exposure to Distributed Training, GANs and Reinforcement Learning.DescriptionMastering TensorFlow 2.x is a must to read and practice if you are interested in building various kinds of neural networks with high level TensorFlow and Keras APIs. The book begins with the basics of TensorFlow and neural network concepts, and goes into specific topics like image classification, object detection, time series forecasting and Generative Adversarial Networks.While we are practicing TensorFlow 2.6 in this book, the version of Tensorflow will change with time; however you can still use this book to witness how Tensorflow outperforms. This book includes the use of a local Jupyter notebook and the use of Google Colab in various use cases including GAN and Image classification tasks. While you explore the performance of TensorFlow, the book also covers various concepts and in-detail explanations around reinforcement learning, model optimization and time series models.What you will learnGetting started with Tensorflow 2.x and basic building blocks.Get well versed in functional programming with TensorFlow.Practice Time Series analysis along with strong understanding of concepts.Get introduced to use of TensorFlow in Reinforcement learning and Generative Adversarial Networks.Train distributed models and how to optimize them.Who this book is forThis book is designed for machine learning engineers, NLP engineers and deep learning practitioners who want to utilize the performance of TensorFlow in their ML and AI projects. Readers are expected to have some familiarity with Tensorflow and the basics of machine learning would be helpful.Table of Contents1. Getting started with TensorFlow 2.x2. Machine Learning with TensorFlow 2.x3. Keras based APIs4. Convolutional Neural Networks in Tensorflow5. Text Processing with TensorFlow 2.x6. Time Series Forecasting with TensorFlow 2.x7. Distributed Training and DataInput pipelines8. Reinforcement Learning9. Model Optimization10. Generative Adversarial NetworksRead more Mastering TensorFlow 2.x covers theory and implementation of deep learning with TensorFlow and Keras. It includes topics like image classification, GANs, and reinforcement learning. Suitable for ML engineers and practitioners, the book explores TensorFlow 2.x, functional programming, time series analysis, and distributed training. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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