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Talking Machines: Strong AI and autoencoders, with Hugo Larochelle
image: Engineering at Cambridge/flickr
In episode nineteen we chat with Hugo Larochelle about his work on unsupervised learning, the International Conference on Learning Representations (ICLR), and his teaching style.
His Youtube courses are not to be missed and his twitter feed @Hugo_Larochelle is a great source for paper reviews.
Ryan introduces us to autoencoders (for more, turn to the work of Richard Zemel) plus we tackle the question of what is standing in the way of strong AI.
https://soundcloud.com/talkingmachines/strong-ai-and-autoencoders
tags: AI, autoencoders, neural networks
