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种子名称:
cs231n-spring2017
文件类型:
视频
文件数目:
16个文件
文件大小:
2.44 GB
收录时间:
2018-11-27 11:01
已经下载:
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资源热度:
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2025-1-3 04:25
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cs231n-spring2017.torrent
Lecture 1 _ Introduction to Convolutional Neural Networks for Visual Recognition-vT1JzLTH4G4.mp4145.61MB
Lecture 10 _ Recurrent Neural Networks-6niqTuYFZLQ.mp4149.69MB
Lecture 11 _ Detection and Segmentation-nDPWywWRIRo.mp4163.26MB
Lecture 12 _ Visualizing and Understanding-6wcs6szJWMY.mp4178.9MB
Lecture 13 _ Generative Models-5WoItGTWV54.mp4161.23MB
Lecture 14 _ Deep Reinforcement Learning-lvoHnicueoE.mp4128.18MB
Lecture 15 _ Efficient Methods and Hardware for Deep Learning-eZdOkDtYMoo.mp4184.46MB
Lecture 16 _ Adversarial Examples and Adversarial Training-CIfsB_EYsVI.mp4152.91MB
Lecture 2 _ Image Classification-OoUX-nOEjG0.mp4128.52MB
Lecture 3 _ Loss Functions and Optimization-h7iBpEHGVNc.mp4161.58MB
Lecture 4 _ Introduction to Neural Networks-d14TUNcbn1k.mp4139.96MB
Lecture 5 _ Convolutional Neural Networks-bNb2fEVKeEo.mp4150.12MB
Lecture 6 _ Training Neural Networks I-wEoyxE0GP2M.mp4169.28MB
Lecture 7 _ Training Neural Networks II-_JB0AO7QxSA.mp4153.71MB
Lecture 8 _ Deep Learning Software-6SlgtELqOWc.mp4167.52MB
Lecture 9 _ CNN Architectures-DAOcjicFr1Y.mp4168.62MB