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Deep Learning (DLSS) and Reinforcement Learning (RLSS) Summer School, Montreal 201736 Lectures · Jun 25, 2017 AboutDeep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning d
In this tutorial I will discuss how reinforcement learning (RL) can be combined with deep learning (DL). There are several ways to combine DL and RL together, including value-based, policy-based, and Read more
Deep Learning Summer School, Montreal 201635 Lectures · Jul 31, 2016 AboutDeep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large dat
International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines (ROKS): theory and applications, Leuven 2013 author: Marco Wiering, Faculty of Mathematics and Natural Sciences, University of Groningen published: Aug. 26, 2013, recorded: July 2013, views: 21314
Report a problem or upload files If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data. Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status. Information geometry emerged from studies on invariant properties of a manifold of
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