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

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

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Total Size	5.4 GB
Total Files	38
Hash	4639637AE2B18C069486FDB1B0675F714BD5B8A2

/Lectures/Deep Learning Lecture 14- Karol Gregor on Variational Autoencoders and Image Generation.mp4	276.2 MB
/Lectures/Deep Learning Lecture 11- Max-margin learning, transfer and memory networks.mp4	386.1 MB
/Lectures/Deep Learning Lecture 13- Alex Graves on Hallucination with RNNs.mp4	337.5 MB
/Lectures/Deep Learning Lecture 3- Maximum likelihood and information.mp4	436.6 MB
/Lectures/Deep Learning Lecture 10- Convolutional Neural Networks.mp4	319.0 MB
/Lectures/Deep Learning Lecture 12- Recurrent Neural Nets and LSTMs.mp4	333.5 MB
/Lectures/Deep Learning Lecture 9- Neural networks and modular design in Torch.mp4	332.6 MB
/Lectures/Deep Learning Lecture 16- Reinforcement learning and neuro-dynamic programming.mp4	352.7 MB
/Lectures/Deep Learning Lecture 8- Modular back-propagation, logistic regression and Torch.mp4	299.7 MB
/Lectures/Deep Learning Lecture 15- Deep Reinforcement Learning - Policy search.mp4	351.0 MB
/Lectures/Deep Learning Lecture 4- Regularization, model complexity and data complexity (part 1).mp4	260.3 MB
/Lectures/Deep Learning Lecture 5- Regularization, model complexity and data complexity (part 2).mp4	378.7 MB
/Lectures/Deep learning Lecture 7- Logistic regression, a Torch approach.mp4	262.7 MB
/Lectures/Deep Learning Lecture 1- Introduction.mp4	384.1 MB
/Lectures/Deep Learning Lecture 2- linear models.mp4	291.2 MB
Showing first 15 files of 38 total files