
Тема бакалаврÑкой работы отноÑитÑÑ Ðº облаÑти машинного Ð¾Ð±ÑƒÑ‡ÐµÐ½Ð¸Ñ Â«Ñ ÑƒÑ‡Ð¸Ñ‚ÐµÐ»ÐµÐ¼Â». Ð’ ходе работы было проведено иÑÑледование применимоÑти Ñверточных в комбинации Ñ Ñ€ÐµÐºÑƒÑ€Ñ€ÐµÐ½Ñ‚Ð½Ñ‹Ð¼Ð¸ нейронных Ñетей при решении задачи одновременной локализации и поÑÑ‚Ñ€Ð¾ÐµÐ½Ð¸Ñ ÐºÐ°Ñ€Ñ‚Ñ‹. Была Ñмоделирована и реализована архитектура требуемой Ñети. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»ÑŒ была обучена и протеÑтирована, поÑле чего были опиÑаны выводы.
каÑÑа глÑбинÑ, маÑинное обÑÑение, slam, нейÑÐ¾Ð½Ð½Ð°Ñ ÑеÑÑ
каÑÑа глÑбинÑ, маÑинное обÑÑение, slam, нейÑÐ¾Ð½Ð½Ð°Ñ ÑеÑÑ
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
