Talk: Building Machines that Imagine and Reason 2

Talk: Building Machines that Imagine and Reason
I am excited to be one the speakers at this year's Deep Learning Summer School in Montreal on the 6th August 2016. Slides can be found here: slides link. And the abstract is below. Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models Deep generative models provide a solution to the problem of unsupervised ...

Bayesian Reasoning and Deep Learning 4

Bayesian Reasoning and Deep Learning
I gave a talk entitled 'Bayesian Reasoning and Deep Learning' recently. Here is the abstract and the slides for interest. Slides Bayesian Reasoning and Deep Learning Abstract Deep learning and Bayesian machine learning are currently two of the most active areas of machine learning research. Deep learning provides a powerful class of models and an ...

A Statistical View of Deep Learning (II): Auto-encoders and Free Energy 6

A Statistical View of Deep Learning (II): Auto-encoders and Free Energy
With the success of discriminative modelling using deep feedforward neural networks (or using an alternative statistical lens, recursive generalised linear models) in numerous industrial applications, there is an increased drive to produce similar outcomes with unsupervised learning. In this post, I'd like to explore the connections between denoising auto-encoders as a leading approach for unsupervised learning in deep learning, and density estimation ...