Recursive Neural Network : ujava.org 12th deep learning workshop

Aug 23, 2015Download as odp, pdf9 likes988 views

The document discusses recursive neural networks and techniques for image classification using bag-of-features models. It covers topics like continuous word representation, parsing sentences with RNNs, SIFT features for image keypoints, generating visual vocabularies with k-means clustering, and representing images as histograms of visual words. The presentation was given by Shindong Kang of Intelligent City Ltd. on recursive neural networks and deep learning.

Recursive Neural Network
ujava.org 12th
Deep Learning Workshop
2015-08-22
www.idosi.com
CEO 강신동
Shindong KANG
(주)지능도시

www.idosi.comContinuous word representation

www.idosi.comUse angle instead of distance

www.idosi.comSkip-gram, N-gram (word2vec)

www.idosi.comPhrases into a vector space

www.idosi.comLearn Structure and Representation

www.idosi.comRecursive Neural Network Definition

www.idosi.comParsing a sentence with an RNN

www.idosi.comAlgorithm for Parsing Images

www.idosi.comLaplacian of Gaussian Image Pyramid

www.idosi.comDoG (Difference of Gaussians)

www.idosi.comDoG (Difference of Gaussians) filtering

www.idosi.comHarris Corner Detector, translation, rotation, not resizing

www.idosi.comSIFT (Scale Invariant Feature Transformation)

www.idosi.com
Difficulties within class variations

www.idosi.com
Generate the visual vocabulary

www.idosi.com
Learn a decision rule (classifier)

Thank you !
(주)지능도시
Intelligent City Ltd.
강신동
Shindong KANG
www.idosi.com
ceo@idosi.com

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