Deep Learning for Computer Vision - Introduction to Convolution Neural Networks
Introduction The power of artificial intelligence is beyond our imagination. We all know robots have already reached a testing phase in some of the powerful countries of the world. Governments, large companies are spending billions in developing this ultra-intelligence creature. The recent existence of robots have gained attention of many research houses across the world. Does it excite you as wel
Deep Learning for Recommender Systems RecSys2017 Tutorial
Deep learning techniques are increasingly being used for recommender systems. Neural network models such as word2vec, doc2vec and prod2vec learn embedding representations of items from user interaction data that capture their relationships. These embeddings can then be used to make recommendations by finding similar items. Deep collaborative filtering models apply neural networks to matrix factori
CycleGAN
Transferring characteristics from one image to another is an exciting proposition. How cool would it be if you could take a photo and convert it into the style of Van Gogh or Picasso! These are examples of cross domain image transfer - we want to take an image from an input domain $D_i$ and then transform it into an image of target domain $D_t$ without necessarily having a one-to-one mapping betwe
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Sketch Simplification・ラフスケッãƒã®è‡ªå‹•ç·šç”»åŒ–
Neural Network-based Sketch Simplification全層畳込ã¿ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ã‚ˆã‚‹ãƒ©ãƒ•ã‚¹ã‚±ãƒƒãƒã®è‡ªå‹•ç·šç”»åŒ– Edgar Simo-Serraシモセラ エドガー*, Satoshi Iizuka飯塚里志*, Kazuma Sasakiä½ã€…木一真, Hiroshi Ishikawa石å·åš (*equal contributionç†é 著者ã«ç›¸å½“) Project Siteプãƒã‚¸ã‚§ã‚¯ãƒˆã‚µã‚¤ãƒˆ Regarding this service本サービスã«ã¤ã„㦠We provide a service to use AI to clean rough sketches based on "Learning to Simplify: Fully Convolutional Networks for Rough Sketch Cleanup" [Simo-Serra
Implementing a CNN for Text Classification in TensorFlow
The full code is available on Github. In this post we will implement a model similar to Kim Yoon’s Convolutional Neural Networks for Sentence Classification. The model presented in the paper achieves good classification performance across a range of text classification tasks (like Sentiment Analysis) and has since become a standard baseline for new text classification architectures. I’m assuming t
Deep Learning周りã®ä¼çµ±çš„ãªè©± - ãŒãã—ã‚…ã†æ—¥è¨˜
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Deep learning 2009å¹´åŠã°ãらã„ã‹ã‚‰deliciousã®ã‚¨ãƒ³ãƒˆãƒªãƒ¼ã«Deep Learningã®åå‰ã‚’良ã見るã®ã§æ°—ã«ãªã£ã¦ã„ãŸï¼Ž http://www.quora.com/Why-does-deep-learning-require-the-construction-of-generative-data-models Deep Learning via Hessian-free Optimization (slide) ã“ã®quoraã¨ã‚¹ãƒ©ã‚¤ãƒ‰ãªã©ã‚’èªã‚“ã§ã‚‚ã¾ã ã‚ã‹ã‚‰ãªã„．イメージã¨ã—ã¦ã¯ã“ã‚“ãªæ„Ÿã˜ï¼Ž éš ã‚Œå±¤ãŒæ·±ã™ãŽã‚‹belief network(deep net)ã¯å¦ç¿’ã«æ™‚é–“ãŒã‹ã‹ã‚‹ ã—ã‹ã‚‚上手ãã„ã‹ãªã„ éš ã‚Œå±¤ãŒå¤šããªã‚Šã™ãŽã‚‹ã¨ãƒãƒƒã‚¯ãƒ—ãƒãƒ‘ゲーション時ã«ä¼æ’ã™ã‚‹ã‚¢ãƒ¬ãŒæµ…ã„層ã«ãªã‚‹ã«ã¤ã‚Œã©ã‚“ã©ã‚“値ãŒå°ã•ããªã‚‹(vanishing gradient problemã¨å‘¼ã°ã‚Œ
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AutoEncoder.pdf - Microsoft Word Online
https://github.com/awhogue/word2vec-scala/blob/master/read_word_vectors.scala
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