Deep Learning Session - NIPS (NeurIPS) 2017

Live from NIPS (NeurIPS) 2017, presentations from the Deep Learning session:
• TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
• Train longer, generalize better: closing the generalization gap in large batch training of neural networks
• End-to-End Differentiable Proving
• Gradient descent GAN optimization is locally stable
• f-GANs in an Information Geometric Nutshell
• Unsupervised Image-to-Image Translation Networks
• The Numerics of GANs
• Dual Discriminator Generative Adversarial Nets
• Bayesian GAN
• Approximation and Convergence Properties of Generative Adversarial Learning
• Dualing GANs
Generalizing GANs: A Turing Perspective

This video is taken from NIPS (NeurIPS) 2017 live stream.
Original Video is available at https://www.facebook.com/nipsfoundation/videos/1554402331317667/

Original facebook page and the video links are broken so I decided to publish these videos on the YouTube for archival.

Видео Deep Learning Session - NIPS (NeurIPS) 2017 канала Suraj