Deep Learning Summer School, Montreal 2016

  • Learning to See Learning to See
  • Learning to Communicate with Deep Multi–Agent Reinforcement Learning Learning to Communicate with Deep Multi–Agent Reinforcement Learning
  • Deep Reinforcement Learning Deep Reinforcement Learning
  • The Deep Learning Summer School 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.
  • Learning Deep Generative Models Learning Deep Generative Models

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@karpathy: “Videos from 2016 Deep Learning Summer School in Montreal are up and slides”


Deep 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 datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning. The Deep Learning Summer School 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. Note: Slide synchronization will soon be added.


Deep Learning Summer School, Montreal 2016

Must Know Tips/Tricks in Deep Neural Networks

Must Know Tips/Tricks in Deep Neural Networks:  #abdsc #MachineLearning #DeepLearning

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  • For more articles about Neural Networks, click .
  • Must Know Tips/Tricks in Deep Neural Networks
  • Deep Neural Networks, especially Convolutional Neural Networks ( CNN ), allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
  • They collected and concluded many implementation details for DCNNs.

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@KirkDBorne: “Must Know Tips/Tricks in Deep Neural Networks: #abdsc #MachineLearning #DeepLearning”


This article was posted by Xiu-Shen Wei.  Xiu-Shen Wei is a 2nd-year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and…


Must Know Tips/Tricks in Deep Neural Networks