Marino, Mauro (A.A. 2021/2022) Pushing machine learning models towards their asymptotical limits: a tweaking cookbook. Tesi di Laurea in Artificial intelligence and machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 59. [Bachelor's Degree Thesis]

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Abstract/Index

Literature review and presentation of techniques. Augmentation techniques. Regularization techniques. Training-specific tweaking. Architecture tweaking. Validation-specific setup. Ensemble. Inference-specific setup. Beating baselines by pushing models towards asymptotical limits 8.0 dataset. Creation of baselines. Experiments: from baseline to asymptotical limit.

References

Bibliografia: pp. 56-59.

Thesis Type:	Bachelor's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18)
Chair:	Artificial intelligence and machine learning
Thesis Supervisor:	Italiano, Giuseppe Francesco
Academic Year:	2021/2022
Session:	Summer
Deposited by:	Alessandro Perfetti
Date Deposited:	20 Oct 2022 12:22
Last Modified:	20 Oct 2022 12:22
URI:	https://tesi.luiss.it/id/eprint/33636

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