Pycon2017Sep 9, 201720 likes8,224 viewsAI-enhanced description 1. Yuta Kashino presented on Edward, a probabilistic programming library built on TensorFlow. Edward allows defining probabilistic models and performing Bayesian inference using techniques like MCMC and variational inference. 2. Dropout was discussed as a way to approximate Bayesian neural networks and model uncertainty in deep learning. Adding
