Artificial Neural Networks

Author:

Czischek Stefanie

Publisher

Springer International Publishing

Reference117 articles.

1. Bishop C (2006) Pattern recognition and machine learning. Springer, New York. https://www.springer.com/de/book/9780387310732?referer=www.springer.de

2. Marquardt F (2017) Machine learning for physicists. https://machine-learning-for-physicists.org/

3. Mehta P, Bukov M, Wang C-H, Day AGR, Richardson C, Fisher CK, Schwab DJ (2019) A high-bias, low-variance introduction to machine learning for physicists. Phys Rep 810:1–124. http://www.sciencedirect.com/science/article/pii/S0370157319300766

4. Hinton GE (2012) A practical guide to training restricted boltzmann machines, pp 599–619. Springer, Berlin. https://doi.org/10.1007/978-3-642-35289-8_32

5. Nielsen MA (2015) Neural networks and deep learning. Determination Press. http://neuralnetworksanddeeplearning.com/

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