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cs231n spring 2017
magnet:?xt=urn:btih:59932a71042dddebac07551e84e4e5f6283282b0&dn=cs231n spring 2017
磁力链接详情
Hash值:
59932a71042dddebac07551e84e4e5f6283282b0
点击数:
239
文件大小:
7.22 GB
文件数量:
16
创建日期:
2017-9-7 02:18
最后访问:
2025-12-9 22:25
访问标签:
cs231n
spring
2017
文件列表详情
Lecture 1 - Introduction to Convolutional Neural Networks for Visual Recognition.mp4 203.47 MB
Lecture 10 - Recurrent Neural Networks.mp4 433.91 MB
Lecture 11 - Detection and Segmentation.mp4 507.86 MB
Lecture 12 - Visualizing and Understanding.mp4 572.14 MB
Lecture 13 - Generative Models.mp4 466.23 MB
Lecture 14 - Deep Reinforcement Learning.mp4 377.55 MB
Lecture 15 - Efficient Methods and Hardware for Deep Learning.mp4 614.28 MB
Lecture 16 - Adversarial Examples and Adversarial Training.mp4 473.05 MB
Lecture 2 - Image Classification.mp4 395.16 MB
Lecture 3 - Loss Functions and Optimization.mp4 502.46 MB
Lecture 4 - Introduction to Neural Networks.mp4 416.77 MB
Lecture 5 - Convolutional Neural Networks.mp4 454.85 MB
Lecture 6-Training-Neural-Networks-I.mp4 508.41 MB
Lecture 7 - Training Neural Networks II.mp4 458.68 MB
Lecture 8 - Deep Learning Software.mp4 487.95 MB
Lecture 9 - CNN Architectures.mp4 516.06 MB
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