TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Author:   Bharath Ramsundar ,  Reza Bosagh Zadeh
Publisher:   O'Reilly Media
ISBN:  

9781491980453


Pages:   300
Publication Date:   30 April 2018
Format:   Paperback
Availability:   In Print   Availability explained
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TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning


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Author:   Bharath Ramsundar ,  Reza Bosagh Zadeh
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
Dimensions:   Width: 17.70cm , Height: 1.30cm , Length: 23.30cm
Weight:   0.408kg
ISBN:  

9781491980453


ISBN 10:   1491980451
Pages:   300
Publication Date:   30 April 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Bharath Ramsundar received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He is currently a PhD student in computer science at Stanford University with the Pande group. His research focuses on the application of deep-learning to drug-discovery. In particular, Bharath is the lead-developer and creator of DeepChem.io, an open source package founded on TensorFlow that aims to democratize the use of deep-learning in drug-discovery. He is supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences. Reza Bosagh Zadeh is Founder CEO at Matroid and Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford University under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks.

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