DC Field | Value | Language |
dc.contributor.author | Alexeev, V. F. | - |
dc.contributor.author | Staravoitau, A. I. | - |
dc.contributor.author | Piskun, G. A. | - |
dc.contributor.author | Likhacheuski, D. V. | - |
dc.date.accessioned | 2018-04-09T07:15:48Z | - |
dc.date.available | 2018-04-09T07:15:48Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | End to end learning for a driving simulator / V. F. Alexeev and others // Доклады БГУИР. - 2018. - № 2 (112). - С. 85 - 91. | ru_RU |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/30900 | - |
dc.description.abstract | Convolutional network approach is utilized for training an end-to-end model that would let a car drive
itself around the track in a driving simulator by predicting steering angles based on the simulated camera data. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | доклады БГУИР | ru_RU |
dc.subject | machine learning | ru_RU |
dc.subject | computer vision | ru_RU |
dc.subject | convolutional network | ru_RU |
dc.subject | end-to-end learning | ru_RU |
dc.subject | Keras | ru_RU |
dc.title | End to end learning for a driving simulator | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | №2 (112)
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