logo

您所在位置網站首頁 > 海量文檔  > 生活休閑 > 科普知識

麻省理工2017深度學習公開課:自動駕駛的深度學習.pdf 83頁

本文檔一共被下載: ,您可全文免費在線閱讀后下載本文檔。

  • 支付并下載
  • 收藏該文檔
  • 百度一下本文檔
  • 修改文檔簡介
全屏預覽

下載提示

1.本站不保證該用戶上傳的文檔完整性,不預覽、不比對內容而直接下載產生的反悔問題本站不予受理。
2.該文檔所得收入(下載+內容+預覽三)歸上傳者、原創者。
3.登錄后可充值,立即自動返金幣,充值渠道很便利
6.S094: Deep Learning for Self-Driving Cars Lecture 1: Introduction to Deep Learning and Self-Driving Cars References: [13, 14] Course 6.S094: Lex Fridman: Website: January Deep Learning for Self-Driving Cars fridman@ 2017 Administrative ? Website: ? Contact Email: deepcars@ ? Required: ? Create an account on the website. ? Follow the tutorial for each of the 2 projects. ? Recommended: ? Ask questions ? Win competition! Course 6.S094: Lex Fridman: Website: January Deep Learning for Self-Driving Cars fridman@ 2017 Target Audience You may be: ? New to programming ? New to machine learning ? New to robotics What you will learn: ? An overview of deep learning methods: ? Deep Reinforcement Learning ? Convolutional Neural Networks ? Recurrent Neural Networks ? How deep learning can help improve each component of autonomous driving: perception, localization, mapping, control, planning, driver state Course 6.S094: Lex Fridman: Website: January Deep Learning for Self-Driving Cars fridman@ 2017 Target Audience Not many equation slides like the following: * Though it would be more efficient, since the above is LaTeX code automatically generated character by character with Recurrent Neural Networks (RNNs) [35] Andrej Karpathy. “The Unreasonable Effectiveness of Recurrent Neural Networks." (2015). References: [35]

發表評論

請自覺遵守互聯網相關的政策法規,嚴禁發布色情、暴力、反動的言論。
用戶名: 驗證碼: 點擊我更換圖片

“原創力文檔”前稱為“文檔投稿賺錢網”,本站為“文檔C2C交易模式”,即用戶上傳的文檔直接賣給(下載)用戶,本站只是中間服務平臺,本站所有文檔下載所得的收益歸上傳人(含作者)所有【成交的100%(原創)】。原創力文檔是網絡服務平臺方,若您的權利被侵害,侵權客服QQ:3005833200 電話:19940600175 歡迎舉報,上傳者QQ群:784321556

凹凸网址导航