Computational Methods for Deep Learning: Theoretic, Practice and Applications

Computational Methods for Deep Learning: Theoretic, Practice and Applications
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$106.88
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   Description
Computational Methods for Deep Learning: Theoretic, Practice and Applications By Yan, Wei Qi Published by Springer Publication Date: 2020-12-05 Subject: Computers Artificial Intelligence Computer Vision & Pattern Recognition, Computers Artificial Intelligence General, Computers Data Science General, Mathematics Applied, Artificial Intelligence, Computer Vision, Machine Learning, Mathematical Modelling, Mathematical Theory Of Computation, Image Processing, Maths For Computer Scientists, Computer Vision, Machine Learning, Mathematical Theory Of Computation, Artificial Intelligence, Mathematical Modelling, Computers Artificial Intelligence Computer Vision & Pattern Recognition, Computers, Artificial Intelligence, Computer Vision & Pattern Recognition, Computers Artificial Intelligence General, General, Computers Data Science General, Data Science, Mathematics Applied, Mathematics, Applied, Image Processing, Maths For Computer Scientists, Anf: Computers And It Genre: Computer Vision, Machine Learning, Mathematical Theory Of Computation, Artificial Intelligence, Mathematical Modelling, Computers, Artificial Intelligence, Computer Vision & Pattern Recognition, Computers, Artificial Intelligence, General, Computers, Data Science, General, Mathematics, Applied, Image Processing, Machine Learning, Maths For Computer Scientists, Artificial Intelligence, Mathematical Modelling Target Audience: Professional and scholarly
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