Oxford-Deep Learning
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2018-2-11 07:02 | 2024-4-30 22:44 | 85 | 4.98 GB | 16 |
迅雷链接
二维码链接
种子下载(838888不存储任何种子文件)
相关链接
文件列表
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4248.2MB
- Oxford-Deep Learning/Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4250.5MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4263.39MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 2- linear models.mp4277.68MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4285.79MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4304.21MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4317.19MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4318.09MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4321.88MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 6- Optimization.mp4328.43MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4334.74MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4336.36MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4361.11MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 1- Introduction.mp4366.33MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4368.22MB
- Oxford-Deep Learning/Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4416.35MB
友情提示
不会用的朋友看这里
把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！
亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！
违规内容投诉邮箱：[email protected]
概述
838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题
它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息
838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪
838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统