PPT-CS 6825: Deep Learning and CNN

Author : marina-yarberry | Published Date : 2018-09-21

Deep Learning Architectures feedforward networks autoencoders output want to recover input image middle layer smaller use results of middle layer for compression

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CS 6825: Deep Learning and CNN: Transcript

Deep Learning Architectures feedforward networks autoencoders output want to recover input image middle layer smaller use results of middle layer for compression recurrent neural networks RNNs backward feeding at run time as part of input into middle . CNN In his book In Search of Deep Throat The Greatest Political Mystery of Our Time former Nixon associate Leonard Garment believes he has finally solved the mystery of the informant who provided fodder for Bob Woodward and Carl Bernsteins reportin 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 . Moitreya Chatterjee, . Yunan. . Luo. Image Source: Google. Outline – This Section. Why do we need Similarity Measures. Metric Learning as a measure of Similarity. Notion of a metric. Unsupervised Metric Learning. . hongliang. . xue. Motivation. . Face recognition technology is widely used in our lives. . Using MATLAB. . ORL database. Database. The ORL Database of Faces. taken between April 1992 and April 1994 at the Cambridge University Computer . Yunchao. Wei, Wei Xia, . Junshi. Huang, . Bingbing. Ni, Jian Dong, Yao Zhao, Senior Member, IEEE . Shuicheng. Yan, Senior Member, IEEE. 2014. . arXiv. IEEE. . Short Papers. . HCPIssue. Date: Sept. 1 2016. 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. …. By Blake Ellis and Melanie Hicken, Senior Writers . Email us at watchdog@cnn.com. watchdog@cnn.com. CNN 10. August 4, 2018. Landmark Museum Lost. U.S. Supreme Court Confirmation Hearings . School Water Fountains Shut Off . Positive Athlete Shows Exceptional Perseverance. Make Up Day. September 4, 2018. Secada combs | bus-550. AI Superpowers: china, silicon valley, and the new world order. Kai Fu Lee. Author of AI Superpowers. Currently Chairman and CEO of . Sinovation. Ventures and President of . Sinovation. 12/8/16. BGU, DNN course 2016. Sources. Main paper. “. Rich . feature hierarchies for accurate object detection and semantic . segmentation. ”, . Ross . Girshick. , Jeff Donahue, Trevor Darrell, . Topic 3. 4/15/2014. Huy V. Nguyen. 1. outline. Deep learning overview. Deep v. shallow architectures. Representation learning. Breakthroughs. Learning principle: greedy layer-wise training. Tera. . scale: data, model, . September 10, 2018. North Korean Parade. Mice, Ticks, and Lyme Disease. CNN 10. September 11. CNN 10. September 12, 2018 . Why Hurricane Florence is Uniquely Dangerous. CNN Hero Helps Children Worldwide. Monthly Gross IncomeNet IncomeRecipient Parent with Children Note that the net income is the same regardless of the number of childrenParent with Duty to Support32500 -37499 315 315 37500 -42499 359 4 networks with many layers . (vs. shallow nets with just a couple of layers). Multiple layers work to build an improved feature space. First layer learns 1. st. order features (e.g. edges…). 2. nd.

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