Neural Networks and Numerical Analysis eBook

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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.

This is a digital product.

Additional ISBNs
9783110783186

Neural Networks and Numerical Analysis 1st Edition is written by Bruno Després and published by De Gruyter. The Digital and eTextbook ISBNs for Neural Networks and Numerical Analysis are 9783110783261, 3110783266 and the print ISBNs are 9783110783124, 3110783126. Additional ISBNs for this eTextbook include 9783110783186.