S, Lovelyn Rose and M, Rashmi (2021) Analysis on the Effect of Dropout as a Regularization Technique in Deep Averaging Network. In: Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India.
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Abstract
Deep neural networks are powerful machine learning systems and many deep learning models for natural language processing tasks focus on learning the compositionality of their inputs. DAN model relies on both simple vector operations and neural network-based models for learning the compositionality.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 14:54 |
| Last Modified: | 17 Apr 2026 07:10 |
| URI: | http://eprints.eai.eu/id/eprint/37046 |
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