Improved deep learning algorithm for self-driving cars control

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9312

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DC Field	Value	Language
dc.contributor.author	Saviak, Nazar	-
dc.date.accessioned	2021-02-12T09:17:29Z	-
dc.date.available	2021-02-12T09:17:29Z	-
dc.date.issued	2020-09-30	-
dc.identifier.citation	N. Saviak, "Improved deep learning algorithm for self-driving cars control," in Proc. IV International Scientific and Practical Conference Applied Systems and Technologies in the Information Society (AISTIS), V. Pleskach and V. Mironova, Eds. Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Sept. 30, 2020, pp. 183-184.	uk_UA
dc.identifier.uri	http://hdl.handle.net/123456789/9312	-
dc.description.abstract	This paper presents the method of machine learning algorithms combination for training self-driving cars. It improves the overall accuracy and speeds up the training process.	uk_UA
dc.language.iso	en_US	uk_UA
dc.publisher	Taras Shevchenko National University of Kyiv	uk_UA
dc.subject	machine learning	uk_UA
dc.subject	self-driving car	uk_UA
dc.subject	algorithm	uk_UA
dc.subject	classification	uk_UA
dc.subject	linear regression	uk_UA
dc.subject	stochastic gradient descent	uk_UA
dc.subject	accuracy	uk_UA
dc.title	Improved deep learning algorithm for self-driving cars control	uk_UA
dc.type	Article	uk_UA
Appears in Collections:	Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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