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Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

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What Would Shannon Do? Bayesian Compression for DL

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Welcome

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Visual pattern encoding on the Poincaré sphere

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Visual features II

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Visual features: From Fourier to Gabor

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Variational Autoencoders with PixelCNN Decoders

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Variational Autoencoder and Extensions

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Undirected Graphical Models

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Two architectures for one-shot learning

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Tutorial on Neural Network Optimization Problems

Ian Goodfellow

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Training Deep Neural Networks

Hugo Larochelle

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Tracking dynamic point processes on networks

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Torch/PyTorch

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01:07:18

The Unreasonable Effectivness Of Deep Learning

Yann LeCun

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Theory of RL

Csaba Szepesvári

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Theory

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Theoretical neuroscience and deep learning theory

Surya Ganguli

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Theano

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