Machine Learning with Shallow Neural Networks

Charu Aggarwal
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Charu Aggarwal: International Business Machines, IBM T. J. Watson Research Center

Chapter Chapter 3 in Neural Networks and Deep Learning, 2023, pp 73-117 from Springer

Abstract: Abstract Conventional machine learning often uses optimization and gradient-descent methods for learning parameterized models. Neural networks are also parameterized models that are learned with continuous optimization methods. In all these cases, the machine learning model constructs a loss function in closed form, and gradient descent is used in order to learn the optimal parameters.

Date: 2023
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DOI: 10.1007/978-3-031-29642-0_3

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