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CS231n - Convolutional Neural Networks for Visual Recognition(Winter 2016)/CS231n Winter 2016 - Lecture 8 - Localization and Detection_new.mp410.2MB
CS231n - Convolutional Neural Networks for Visual Recognition(Winter 2016)/CS231n Winter 2016- Lecture 14- Videos and Unsupervised Learning_new.mp410.2MB
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视频/Lecture 1 - Introduction to Convolutional Neural Networks for Visual Recognition.mp47.22MB
视频/Lecture 10 - Recurrent Neural Networks.mp47.22MB
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Lecture 1 - Introduction to Convolutional Neural Networks for Visual Recognition.mp47.22MB
Lecture 10 - Recurrent Neural Networks.mp47.22MB
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CS231n Winter 2016 - Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM-yCC09vCHzF8.mkv20.33MB
CS231n Winter 2016 - Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM-yCC09vCHzF8.mp420.33MB
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CS231n Winter 2016 - Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM-yCC09vCHzF8.mkv13.29MB
CS231n Winter 2016 - Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM-yCC09vCHzF8.mp413.29MB
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CS231n Winter 2016 - Lecture 10 - Recurrent Neural Networks, Image Captioning, LSTM-yCC09vCHzF8.mkv9.99MB
CS231n Winter 2016 - Lecture 15 - Invited Talk by Jeff Dean-T7YkPWpwFD4.mkv9.99MB
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15. Efficient Methods and Hardware for Deep Learning.mp411.38MB
1.1 计算机视觉概述.mp411.38MB
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Lecture 1 _ Introduction to Convolutional Neural Networks for Visual Recognition-vT1JzLTH4G4.mp42.44MB
Lecture 10 _ Recurrent Neural Networks-6niqTuYFZLQ.mp42.44MB
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