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Neural Networks and Numerical Analysis (De Gruyter Series in Applied and Numerical Mathematics Book 6)

Neural Networks and Numerical Analysis (De Gruyter Series in Applied and Numerical Mathematics Book 6)

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Neural Networks and Numerical Analysis (De Gruyter Series in Applied and Numerical Mathematics Book 6)

Neural Networks and Numerical Analysis (De Gruyter Series in Applied and Numerical Mathematics Book 6)

Category

Neural Networks

Algorithms

Author

Bruno Després

Publication

De Gruyter

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This book uses numerical analysis as the main tool to investigate methods in machine learning and neural networks. The efficiency of neural network representations for general functions and for polynomial functions is studied in detail, together with an original description of the Latin hypercube method and of the ADAM algorithm for training. Furthermore, unique features include the use of Tensorflow for implementation session, and the description of on going research about the construction of new optimized numerical schemes.

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ISBN-13

9783110783124

Publisher

De Gruyter

Price

123.99

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PDF

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Bruno Després

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About the Author

Bruno Desprs, Sorbonne University, France. --This text refers to the hardcover edition.

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