人工智能行業(yè)ai專題報告：ai助力人類進入新世界

1、1 Al站在科技浪潮之巔 11.1 AI的開展歷程11.2 AI是中國彎道超車的好機會 3Al技術(shù)梳理51.3 機器學(xué)習(xí) (Machine Learning) 51.4 深度學(xué)習(xí)(Deep Learning) 71.5 計算機視覺10AI商業(yè)生態(tài)梳理111.6 技術(shù)、硬件全球生態(tài)111.7 政府和全球巨頭生態(tài)建設(shè)火熱進行中 134風(fēng)險提示14圖13:基于卷積神經(jīng)網(wǎng)絡(luò)的鳥類識別（圖像識別）圖14：使用CNN提取噴流圖特征（物理學(xué)）數(shù)據(jù)來源

2、:《Bird species categorization using pose normalized deep convolutional nets》,西南證券整理數(shù)據(jù)來源:《Bird species categorization using pose normalized deep convolutional nets》,西南證券整理數(shù)據(jù)來源:^Jet-images—deep learning edition^ 西南證券整理Figu

3、re 1: Pipeline Overview: Given a irst image, we use g oups of delected keypoints ;o compute mult.ple warped image regions that arc aligned with prototypical modeh. Each region is Id through a Jeep cun- volulkMi ii «

4、ic:wo:k. and feature arc cxtiactcJ fr;）ai multiple layers I catuics av cm.catenated and fee（（? d clajiMtisr.Figure 1: Pipeline Overview: Given a irst image, we use g oups of delected keypoints ;o compute mult.ple warped

5、image regions that arc aligned with prototypical modeh. Each region is Id through a Jeep cun- volulkMi ii «ic:wo:k. and feature arc cxtiactcJ fr;）ai multiple layers I catuics av cm.catenated and fee（（? d clajiMtisr.