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£ 13.35
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 1 available
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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Paperback. 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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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
Seller rating 5 out of 5 stars
First Edition
Paperback. 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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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
Paperback or Softback. Condition: New. Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data. Book.
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Condition: New. Neural Network Programming with TensorFlow (Paperback or Softback).
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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 multiple locations in the US or from the UK, depending on stock availability.
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Mastering TensorFlow 2.x
Published by BPB Publications, IN, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
Paperback. Condition: New.
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Mastering TensorFlow 2.x
Published by BPB Publications, IN, 2022
ISBN 10: 9391392229 ISBN 13: 9789391392222
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 45.98
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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
Seller rating 5 out of 5 stars
£ 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
Seller rating 5 out of 5 stars
£ 33.14
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Neural Network Programming with TensorFlow
Published by Packt Publishing Limited, GB, 2017
ISBN 10: 1788390393 ISBN 13: 9781788390392
Language: English
Paperback. Condition: New. Neural Networks and their implementation decoded with TensorFlowAbout This Book. Develop a strong background in neural network programming from scratch, using the popular Tensorflow library. Use Tensorflow to implement different kinds of neural networks - from simple feedforward neural networks to multilayered perceptrons, CNNs, RNNs and more. A highly practical guide including real-world datasets and use-cases to simplify your understanding of neural networks and their implementation.Who This Book Is ForThis book is meant for developers with a statistical background who want to work with neural networks. Though we will be using TensorFlow as the underlying library for neural networks, book can be used as a generic resource to bridge the gap between the math and the implementation of deep learning. If you have some understanding of Tensorflow and Python and want to learn what happens at a level lower than the plain API syntax, this book is for you.What You Will Learn. Learn Linear Algebra and mathematics behind neural network. Dive deep into Neural networks from the basic to advanced concepts like CNN, RNN Deep Belief Networks, Deep Feedforward Networks. Explore Optimization techniques for solving problems like Local minima, Global minima, Saddle points. Learn through real world examples like Sentiment Analysis. Train different types of generative models and explore autoencoders. Explore TensorFlow as an example of deep learning implementation.In DetailIf you're aware of the buzz surrounding the terms such as "machine learning," "artificial intelligence," or "deep learning," you might know what neural networks are. Ever wondered how they help in solving complex computational problem efficiently, or how to train efficient neural networks? This book will teach you just that.You will start by getting a quick overview of the popular TensorFlow library and how it is used to train different neural networks. You will get a thorough understanding of the fundamentals and basic math for neural networks and why TensorFlow is a popular choice Then, you will proceed to implement a simple feed forward neural network. Next you will master optimization techniques and algorithms for neural networks using TensorFlow. Further, you will learn to implement some more complex types of neural networks such as convolutional neural networks, recurrent neural networks, and Deep Belief Networks. In the course of the book, you will be working on real-world datasets to get a hands-on understanding of neural network programming. You will also get to train generative models and will learn the applications of autoencoders.By the end of this book, you will have a fair understanding of how you can leverage the power of TensorFlow to train neural networks of varying complexities, without any hassle. While you are learning about various neural network implementations you will learn the underlying mathematics and linear algebra and how they map to the appropriate TensorFlow con.
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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
£ 30.24
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Mastering Tensorflow 2.x : Implement Powerful Neural Nets Across Structured, Unstructured Datasets and Time Series Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 32.72
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Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 37.13
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Mastering Tensorflow 2.x : Implement Powerful Neural Nets Across Structured, Unstructured Datasets and Time Series Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Neural Network Programming with TensorFlow
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 37.12
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