Batch Gradient Learning Algorithm with Smoothing <inline-formula><math display="inline"><semantics><mrow><msub><mi>L</mi><mn>1</mn></msub></mrow></semantics></math></inline-formula> Regularization for Feedforward Neural Networks
Regularization techniques are critical in the development of machine learning models. Complex models, such as neural networks, are particularly prone to overfitting and to performing poorly on the training data. <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" disp...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Computers |
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| Online Access: | https://www.mdpi.com/2073-431X/12/1/4 |