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Oxford-Deep Learning
magnet:?xt=urn:btih:57ef69a9d34f55f14dacbd16d9f7f980c54d9dbe&dn=Oxford-Deep Learning
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Hash值:
57ef69a9d34f55f14dacbd16d9f7f980c54d9dbe
点击数:
107
文件大小:
4.98 GB
文件数量:
16
创建日期:
2017-8-22 03:16
最后访问:
2024-7-31 08:30
访问标签:
Oxford-Deep
Learning
文件列表详情
Lectures/Deep Learning Lecture 1- Introduction.mp4 366.33 MB
Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4 304.21 MB
Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4 368.22 MB
Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4 318.09 MB
Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4 321.88 MB
Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4 263.39 MB
Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4 334.74 MB
Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4 336.36 MB
Lectures/Deep Learning Lecture 2- linear models.mp4 277.68 MB
Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4 416.35 MB
Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4 248.2 MB
Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4 361.11 MB
Lectures/Deep Learning Lecture 6- Optimization.mp4 328.43 MB
Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4 250.5 MB
Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4 285.79 MB
Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4 317.19 MB
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