TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning - Tapa blanda

Ramsundar, Bharath; Zadeh, Reza Bosagh

 
9781491980453: TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
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ISBN 10: 1491980451 ISBN 13: 9781491980453
Editorial: O'Reilly Media, 2018

Sinopsis

Learn how to solve challenging machine learning problems with TensorFlow, Googleâ s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines.

TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. Itâ s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

  • Learn TensorFlow fundamentals, including how to perform basic computation
  • Build simple learning systems to understand their mathematical foundations
  • Dive into fully connected deep networks used in thousands of applications
  • Turn prototypes into high-quality models with hyperparameter optimization
  • Process images with convolutional neural networks
  • Handle natural language datasets with recurrent neural networks
  • Use reinforcement learning to solve games such as tic-tac-toe
  • Train deep networks with hardware including GPUs and tensor processing units

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Acerca del autor

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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Editorial
O'Reilly Media
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1491980451
ISBN 13 
9781491980453
Encuadernación
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Número de páginas
254
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9789352137046: Tensorflow for deep learning From linear Regression to reinforcement learning

Edición Destacada

ISBN 10:  9352137043 ISBN 13:  9789352137046
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