Teaching Deep Learners to Generalize

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

Chapter Chapter 5 in Neural Networks and Deep Learning, 2023, pp 165-213 from Springer

Abstract: Abstract Neural networks are powerful learners that have repeatedly proven to be capable of learning complex functions in many domains. However, the great power of neural networks is also their greatest weakness; neural networks often simply overfit the training data if care is not taken to design the learning process carefully.

Date: 2023
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DOI: 10.1007/978-3-031-29642-0_5

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