PPT-Marco Salvi NVIDIA Deep Learning:

Author : min-jolicoeur | Published Date : 2018-02-27

The Future of RealTime Rendering 1 Deep Learning is Changing the Way We Do Graphics Chaitanya17 Dahm17 Laine17 Holden17 Karras17 Nalbach17 Video AudioDriven Facial

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Marco Salvi NVIDIA Deep Learning:: Transcript

The Future of RealTime Rendering 1 Deep Learning is Changing the Way We Do Graphics Chaitanya17 Dahm17 Laine17 Holden17 Karras17 Nalbach17 Video AudioDriven Facial Animation by Joint EndtoEnd Learning of Pose and Emotion. Why NVIDIA GeForce Motherboard GPUs? NVIDIA NVIDIA Research. Anti-Aliasing: Are We There Yet?. 1. 2. “The Order: 1866” © Sony Computer Entertainment. 3. “Infiltrator” Unreal Engine 4 demo © Epic Games. 4. “Assassin’s Creed Unity” © . Quoc V. Le. Stanford University and Google. Purely supervised. Quoc V. . Le. Almost abandoned between 2000-2006. - . Overfitting. , slow, many local minima, gradient vanishing. In 2006, Hinton, et. al. proposed RBMs to . Information Processing & Artificial Intelligence. New-Generation Models & Methodology for Advancing . AI & SIP. Li Deng . Microsoft Research, Redmond, . USA. Tianjin University, July 4, 2013 (Day 3). Aaron Crandall, 2015. What is Deep Learning?. Architectures with more mathematical . transformations from source to target. Sparse representations. Stacking based learning . approaches. Mor. e focus on handling unlabeled data. Professor Qiang Yang. Outline. Introduction. Supervised Learning. Convolutional Neural Network. Sequence Modelling: RNN and its extensions. Unsupervised Learning. Autoencoder. Stacked . Denoising. . NVIDIA Research. Anti-Aliasing: Are We There Yet?. 1. 2. “The Order: 1866” © Sony Computer Entertainment. 3. “Infiltrator” Unreal Engine 4 demo © Epic Games. 4. “Assassin’s Creed Unity” © . Continuous. Scoring in Practical Applications. Tuesday 6/28/2016. By Greg Makowski. Greg@Ligadata.com. www.Linkedin.com/in/GregMakowski. Community @. . http. ://. Kamanja.org. . . Try out. Future . CS 501:CS Seminar. Min Xian. Assistant Professor. Department of Computer Science. University of Idaho. Image from NVIDIA. Researchers:. Geoff Hinton. Yann . LeCun. Andrew Ng. Yoshua. . Bengio. …. Benchmark and Competition. Cody Coleman. ,. . Deepak . Narayanan, Daniel Kang, Tian . Zhao, Jian Zhang,. Luigi . Nardi. , Peter . Bailis. , . Kunle. . Olukotun. , Chris . Ré. , . Matei. . Zaharia. A Tale of Two Cities: GPU Computing and Machine Learning Dr. Xiaowen Chu Department of Computer Science, Hong Kong Baptist University Outline 2 Some Stories of “Two Cities” Evolution of CPUs/ Garima Lalwani Karan Ganju Unnat Jain. Today’s takeaways. Bonus RL recap. Functional Approximation. Deep Q Network. Double Deep Q Network. Dueling Networks. Recurrent DQN. Solving “Doom”. Lexington, Kentucky . Gregory Gutmann . Tokyo Institute of Technology . Tokyo, Japan . Deep Learning By Doing:. The NVIDIA Deep Learning Institute and . University Ambassador Program. www.nvidia.com. Outline. What is Deep Learning. Tensors: Data Structures for Deep Learning. Multilayer Perceptron. Activation Functions for Deep Learning. Model Training in Deep Learning. Regularization for Deep Learning.

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