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. Additional ISBNs 9783110783186Neural Networks and Numerical Analysis 1st Edition is written by Bruno Despr?s and published by De Gruyter. ISBNs for Neural Networks and Numerical Analysis are 9783110783261, 3110783266 and the print ISBNs are 9783110783124, 3110783126. Additional ISBNs include 9783110783186.
Neural Networks and Numerical Analysis
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