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TensorFlow 1.x Deep Learning Cookbook Paperback – Import, 12 Dec 2017

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Product description

About the Author

Antonio Gulli is a transformational software executive and business leader with a passion for establishing and managing global technological talent for innovation and execution. He is an expert in search engines, online services, machine learning, information retrieval, analytics, and cloud computing. So far, he has been lucky enough to gain professional experience in four different countries in Europe and manage teams in six different countries in Europe and America. Currently, he works as site lead and director of cloud in Google Warsaw, driving European efforts for Serverless, Kubernetes, and Google Cloud UX. Previously, Antonio helped to innovate academic search as the vice president for Elsevier, a worldwide leading publisher. Before that, he drove query suggestions and news search as a principal engineer for Microsoft. Earlier, he served as the CTO for Ask.com, driving multimedia and news search. Antonio has filed for 20+ patents, published multiple academic papers, and served as a senior PC member in multiple international conferences. He truly believes that to be successful, you must have a great combination of management, research skills, just-get-it-done, and selling attitude. Amita Kapoor is an associate professor in the Department of Electronics, SRCASW, University of Delhi. She has been actively teaching neural networks for the last 20 years. She did her master's in electronics in 1996 and PhD in 2011. During her PhD, she was awarded the prestigious DAAD fellowship to pursue a part of her research work in Karlsruhe Institute of Technology, Karlsruhe, Germany. She had been awarded the best presentation award at International Conference Photonics 2008 for her paper. She is a member of professional bodies such as OSA (Optical Society of America), IEEE (Institute of Electrical and Electronics Engineers), INNS (International Neural Network Society), and ISBS (Indian Society for Buddhist Studies). Amita has more than 40 publications in international journals and conferences to her credit. Her present research areas include machine learning, artificial intelligence, neural networks, robotics, Buddhism (philosophy and psychology) and ethics in AI.

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Product details

  • Paperback: 536 pages
  • Publisher: Packt Publishing Limited (12 December 2017)
  • Language: English
  • ISBN-10: 1788293592
  • ISBN-13: 978-1788293594
  • Product Dimensions: 19 x 3.1 x 23.5 cm
  • Average Customer Review: 5.0 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #1,36,625 in Books (See Top 100 in Books)
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28 January 2018
Format: Paperback
12 January 2018
Format: Kindle Edition
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Amazon.com: 3.8 out of 5 stars 12 reviews
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5.0 out of 5 starsExcellent book for a high level overview in moderate to ...
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4.0 out of 5 starsPositive impressions
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1.0 out of 5 starsThe title makes it seem like its a book on tensorflow but the one chapter ...
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Anonymous Reviewer
1.0 out of 5 starsSave Your Money, This Is Garbage
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