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Deep Inelastic Scattering: Proceedings of the 14th International Workshop, Tsukuba, Japan, 20 - 24 April 2006

Docker Deep Dive 2023 Edition - Nigel Poulton

Deep Learning with PyTorch Manning - Eli Stevens, Luca Antiga and Thomas Viehmann

Deep Learning - Andrew Glassner

Deep Learning: A Practitioner’s Approach - Josh Patterson and Adam Gibson

Deep Learning with R 2nd Edition - François Chollet with Tomasz Kalinowski and J.J. Allaire

The Android Malware Handbook - Qian Han, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian, Sai Deep Tetali, and Yanhai Xiong

Python Deep Learning

Deep Learning with PyTorch - Vishnu Subramanian

Deep Learning for Finance - Sofien Kaabar

Practical Deep Learning for Cloud, Mobile, and Edge - Anirudh Koul, Siddha Ganju, and Meher Kasam

Deep Learning for Coders With Fastai and PyTorch: AI Applications Without a PhD

grokking Deep Reinforcement Learning - Miguel Morales

Deep Learning from Scratch - Seth Weidman

Neural Network Programming with TensorFlow - Manpreet Singh Ghotra and Rajdeep Dua

Inside Deep Learning - Edward Raff

Deep Learning with Python - François Chollet

Deep Learning for the Life Sciences - Bharath Ramsundar, Peter Eastman, Patrick Walters, and Vijay Pande

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