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Mastering Tensorflow 2 X Implement by Dua Rajdeep (10 results)
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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 1.57. Book.
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Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data (English Edition)
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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
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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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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mastering 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. TABLE OF CONTENTS 1. Getting started with TensorFlow 2.x 2. Machine Learning with TensorFlow 2.x 3. Keras based APIs 4. Convolutional Neural Networks in Tensorflow 5. Text Processing with TensorFlow 2.x 6. Time Series Forecasting with TensorFlow 2.x 7. Distributed Training and DataInput pipelines 8. Reinforcement Learning 9. Model Optimization 10. Generative Adversarial Networks.
