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Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Fundamentals of Deep Learning 2nd Edition - Nithin Buduma, Nikhil Buduma, and Joe Papa with contributions by Nicholas Locascio

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

Deep Belief Nets in C++ and CUDA C volume 2 Autoencoding in the Complex Domain

《深度学习》(Deep Learning)扫描版

Deep Learning for Coders with fastai and PyTorch

Neural Networks and Deep Learning - Charu C. Aggarwal

Advanced Deep Learning with Keras - Rowel Atienza

Deep Reinforcement Learning in Action - Brandon Brown and Alexander Zai

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

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

grokking Deep Reinforcement Learning - Miguel Morales

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

PowerShell Deep Dives - Jeffery Hicks, Richard Siddaway, Oisín Grehan and Aleksandar Nikolic

Data and Computer Communications: Networking and Internetworking - Gurdeep S. Hura and Mukesh Singhal

Programming PyTorch for Deep Learning - Ian Pointer

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

Deep Learning and the Game of Go - Max Pumperla and Kevin Ferguson

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