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Synopsis
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. 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 computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.
Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach...
About the Author
Tom Hope is an applied machine learning researcher and data scientist with extensive background in academia and industry.
He has background as a senior data scientist in large international corporation settings, leading data science and deep learning R&D across multiple domains including web mining, text analytics, computer vision,sales and marketing, IoT, financial forecasting and large-scale manufacturing. Previously he was at a successful e-commerce startup in its early days,...
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- PublisherO'Reilly Media
- Publication date2017
- ISBN 10 1491978511
- ISBN 13 9781491978511
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages242
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