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Deep Learning with Keras - Antonio Gulli and Sujit Pal

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

Neural Networks and Deep Learning - Charu C. Aggarwal

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

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

Deep Learning Examples with PyTorch and fastai: A Developers Cookbook

Deep Belief Nets in C++ and CUDA C: Volume 1 Restricted Boltzmann Machines and Supervised Feedforward Networks

Neural Networks and Deep Learning: Deep Learning explained to your granny

Inside Deep Learning - Edward Raff

The Self-Service Data Roadmap - Sandeep Uttamchandani

Generative Deep Learning 2nd Edition - David Foster

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

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

Evolutionary Deep Learning - Micheal Lanham

Deep Learning for Coders with fastai and PyTorch

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

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

Redis® Deep Dive: Explore Redis - Its Architecture, Data Structures and Modules like Search, JSON, AI, Graph, Timeseries (English Edition)

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