Deep Learning and the Analysis of Satellite Imagery
Boris Babenko of Orbital Insight talks about Deep Learning and the Analysis of Satellite Imagery. Orbital Insight is a Geospatial Big Data company leveraging the rapidly growing availability of satellite, UAV, and other geospatial data sources, to understand and characterize socio-economic trends at global, regional, and hyper-local scales. In this talk Boris discusses the satellite imagery dom
Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented d
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented d
Deep Reinforcement Learning (John Schulman, OpenAI)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented d
Asynchronous Methods for Deep Reinforcement Learning: TORCS
The video shows an agent driving a racecar using only raw pixels as input. The agent was trained using the Asynchronous Advantage Actor-Critic (A3C) algorithm. During training, the agent was rewarded for maintaining high velocity along the center of the racetrack. Paper link - http://arxiv.org/pdf/1602.01783.pdf
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Tensorflow and deep learning, without a PhD, Martin Gorner, Google
Connections between physics and deep learning
Pedestrian Detection by Deep Convolutional Neural Network
