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Oxford Deep Learning

Oxford Deep Learning Lectures Deep Learning Lecture 14 Karol Gregor on Variational Autoencoders and Image Generation mp4

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Oxford-Deep Learning

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5.4 GB

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/Oxford-Deep Learning/Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4

276.2 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4

386.1 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4

337.5 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4

436.6 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4

319.0 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4

332.6 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4

333.5 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4

299.7 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4

352.7 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4

260.3 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4

351.0 MB

/Oxford-Deep Learning/Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4

262.7 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4

378.7 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 1- Introduction.mp4

384.1 MB

/Oxford-Deep Learning/Lectures/Deep Learning Lecture 2- linear models.mp4

291.2 MB

 

Showing first 15 files of 38 total files


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