Coursera - Machine Learning Specialization
Coursera - Machine Learning Specialization metadata, size 3538.69 MB, 463 files, category video, indexed at 2026-05-19.
资源标识
Infohash19503d96351b60f974a1a848c7618d7fb9366359
总大小3.5 GB
格式mp4
分类视频
文件数463
发掘时间（北京时间）2026-05-19 10:09:59
最后活跃（北京时间）2026-07-29 11:18:27
下载标识
完整磁力链接
magnet:?xt=urn:btih:19503d96351b60f974a1a848c7618d7fb9366359&dn=Coursera%20-%20Machine%20Learning%20Specialization
迅雷地址
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjE5NTAzZDk2MzUxYjYwZjk3NGExYTg0OGM3NjE4ZDdmYjkzNjYzNTkmZG49Q291cnNlcmElMjAtJTIwTWFjaGluZSUyMExlYXJuaW5nJTIwU3BlY2lhbGl6YXRpb25aWg==
电驴地址
不能由磁力 infohash 直接转换。ed2k 需要文件内容 MD4 hash、文件名和文件大小，BitTorrent infohash 与 ed2k hash 不是同一种算法。
Tag
文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 01_welcome.en.srt | srt | 5.4 KB |
| 01_welcome.en.txt | txt | 2.8 KB |
| 01_welcome.mp4 | mp4 | 10.6 MB |
| 02_neurons-and-the-brain.en.srt | srt | 18.3 KB |
| 02_neurons-and-the-brain.en.txt | txt | 9.5 KB |
| 02_neurons-and-the-brain.mp4 | mp4 | 26.9 MB |
| 03_demand-prediction.en.srt | srt | 26.6 KB |
| 03_demand-prediction.en.txt | txt | 14.0 KB |
| 03_demand-prediction.mp4 | mp4 | 24.2 MB |
| 04_example-recognizing-images.en.srt | srt | 10.2 KB |
| 04_example-recognizing-images.en.txt | txt | 5.3 KB |
| 04_example-recognizing-images.mp4 | mp4 | 14.6 MB |
| 05_important-have-questions-issues-or-ideas-join-our-forum_instructions.html | html | 1.6 KB |
| 01_neural-network-layer.en.srt | srt | 13.0 KB |
| 01_neural-network-layer.en.txt | txt | 6.8 KB |
| 01_neural-network-layer.mp4 | mp4 | 20.4 MB |
| 02_more-complex-neural-networks.en.srt | srt | 11.7 KB |
| 02_more-complex-neural-networks.en.txt | txt | 6.1 KB |
| 02_more-complex-neural-networks.mp4 | mp4 | 17.0 MB |
| 03_inference-making-predictions-forward-propagation.en.srt | srt | 7.0 KB |
| 03_inference-making-predictions-forward-propagation.en.txt | txt | 4.3 KB |
| 03_inference-making-predictions-forward-propagation.mp4 | mp4 | 12.6 MB |
| 01_inference-in-code.en.srt | srt | 10.0 KB |
| 01_inference-in-code.en.txt | txt | 5.2 KB |
| 01_inference-in-code.mp4 | mp4 | 16.8 MB |
| 02_data-in-tensorflow.en.srt | srt | 13.2 KB |
| 02_data-in-tensorflow.en.txt | txt | 8.3 KB |
| 02_data-in-tensorflow.mp4 | mp4 | 24.8 MB |
| 03_building-a-neural-network.en.srt | srt | 10.7 KB |
| 03_building-a-neural-network.en.txt | txt | 6.9 KB |
| 03_building-a-neural-network.mp4 | mp4 | 24.4 MB |
| 01_forward-prop-in-a-single-layer.en.srt | srt | 6.1 KB |
| 01_forward-prop-in-a-single-layer.en.txt | txt | 3.8 KB |
| 01_forward-prop-in-a-single-layer.mp4 | mp4 | 12.4 MB |
| 02_general-implementation-of-forward-propagation.en.srt | srt | 11.6 KB |
| 02_general-implementation-of-forward-propagation.en.txt | txt | 6.0 KB |
| 02_general-implementation-of-forward-propagation.mp4 | mp4 | 21.3 MB |
| 01_is-there-a-path-to-agi.en.srt | srt | 16.4 KB |
| 01_is-there-a-path-to-agi.en.txt | txt | 8.6 KB |
| 01_is-there-a-path-to-agi.mp4 | mp4 | 28.1 MB |
| 01_how-neural-networks-are-implemented-efficiently.en.srt | srt | 6.1 KB |
| 01_how-neural-networks-are-implemented-efficiently.en.txt | txt | 3.2 KB |
| 01_how-neural-networks-are-implemented-efficiently.mp4 | mp4 | 12.2 MB |
| 02_matrix-multiplication.en.srt | srt | 12.3 KB |
| 02_matrix-multiplication.en.txt | txt | 6.4 KB |
| 02_matrix-multiplication.mp4 | mp4 | 15.9 MB |
| 03_matrix-multiplication-rules.en.srt | srt | 11.4 KB |
| 03_matrix-multiplication-rules.en.txt | txt | 7.1 KB |
| 03_matrix-multiplication-rules.mp4 | mp4 | 16.1 MB |
| 04_matrix-multiplication-code.en.srt | srt | 8.8 KB |
合规说明
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