You're reading from Hands-On GPU Computing with Python

Product typeBook

Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789341072

Edition1st Edition

Languages

Python

Tools

TensorFlow CUDA

Concepts

Data Processing

Author (1)

Avimanyu Bandyopadhyay

References

The following articles serve as references to this chapter and can be used to learn more about the topics discussed in this chapter:

Deep Learning for the Life Sciences, B Ramsundar, P Eastman, P Walters, V Pande, K Leswing, and Z Wu (2019). O'Reilly Media (online). Available at https://www.amazon.com/Deep-Learning-Life-Sciences-Microscopy/dp/1492039837.
Introduction to Computer Science using Python: A Computational Problem-Solving Focus, 1st ed, C Dierbach (2015), Wiley (online). Available at https://www.amazon.in/gp/product/8126556013/
How does your body process medicine?, Valéry, C. (2017). (online) TED-Ed. Available at https://ed.ted.com/lessons/how-does-your-body-process-medicine-celine-valery.
Molecular Modeling and Drug Design, K A Solomon (2008), MJP Publishers (online). Available at https://www.amazon.in/Molecular-Modelling-Design-Anand-Solomon...

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Hands-On GPU Computing with Python

Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!
Read more about Avimanyu Bandyopadhyay

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