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cs231n-spring2017
magnet:?xt=urn:btih:ed8a16ebb346e14119a03371665306609e485f13&dn=cs231n-spring2017
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ed8a16ebb346e14119a03371665306609e485f13
infohash:
16
文件数量
2.44 GB
文件大小
2018-11-27 11:01
创建日期
2025-1-29 18:37
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相关分词
cs231n-spring2017
Lecture 1 _ Introduction to Convolutional Neural Networks for Visual Recognition-vT1JzLTH4G4.mp4 145.61 MB
Lecture 10 _ Recurrent Neural Networks-6niqTuYFZLQ.mp4 149.69 MB
Lecture 11 _ Detection and Segmentation-nDPWywWRIRo.mp4 163.26 MB
Lecture 12 _ Visualizing and Understanding-6wcs6szJWMY.mp4 178.9 MB
Lecture 13 _ Generative Models-5WoItGTWV54.mp4 161.23 MB
Lecture 14 _ Deep Reinforcement Learning-lvoHnicueoE.mp4 128.18 MB
Lecture 15 _ Efficient Methods and Hardware for Deep Learning-eZdOkDtYMoo.mp4 184.46 MB
Lecture 16 _ Adversarial Examples and Adversarial Training-CIfsB_EYsVI.mp4 152.91 MB
Lecture 2 _ Image Classification-OoUX-nOEjG0.mp4 128.52 MB
Lecture 3 _ Loss Functions and Optimization-h7iBpEHGVNc.mp4 161.58 MB
Lecture 4 _ Introduction to Neural Networks-d14TUNcbn1k.mp4 139.96 MB
Lecture 5 _ Convolutional Neural Networks-bNb2fEVKeEo.mp4 150.12 MB
Lecture 6 _ Training Neural Networks I-wEoyxE0GP2M.mp4 169.28 MB
Lecture 7 _ Training Neural Networks II-_JB0AO7QxSA.mp4 153.71 MB
Lecture 8 _ Deep Learning Software-6SlgtELqOWc.mp4 167.52 MB
Lecture 9 _ CNN Architectures-DAOcjicFr1Y.mp4 168.62 MB
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