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Softmax
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#	Item
1	An Alternative Softmax Operator for Reinforcement Learning Kavosh Asadi 1 Michael L. Littman 1 Abstract A softmax operator applied to a set of values Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
2	Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images Space size: 5.2×5.2×2.5 m3 Receptive field: m3 Softmax Add to Reading List Source URL: vision.princeton.edu - Date: 2016-03-10 11:57:46
3	Hierarchical Memory Networks Sarath Chandar∗ 1 , Sungjin Ahn1 , Hugo Larochelle2,4 , Pascal Vincent1,4 , Gerald Tesauro3 , Yoshua Bengio1,4 arXiv:1605.07427v1 [stat.ML] 24 May 2016 Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-05-24 20:30:33 Computational neuroscience Artificial neural networks Cognitive science Applied mathematics Neuroscience Machine learning Advanced RISC Computing MIPS Technologies Deep learning MIPS instruction set Softmax function Word embedding
4	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Context-Sensitive and Role-Dependent Spoken Language Understanding using Bidirectional and Attention LSTMs Hori, C.; Hori, T.; Watanabe, S.; Hershey, J.R. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-08-01 10:10:56 Artificial neural networks Computational neuroscience Deep learning Recurrent neural network Long short-term memory Speech recognition Artificial intelligence Dialog manager Softmax function Word2vec Sepp Hochreiter
5	CS 224d: Assignment #2 Sunday 8th May, 2016 Due date: 5/5 11:59 PM PST (You are allowed to use three (3) late days maximum for this assignment) This handout consists of several homework problems, as well as instructions Add to Reading List Source URL: cs224d.stanford.edu Language: English - Date: 2016-05-14 14:03:09 Artificial neural networks Computational neuroscience Softmax function Entropy Backpropagation Cross entropy Perplexity
6	Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Google Inc. Mountain View Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-11-25 16:07:00 Artificial neural networks Artificial intelligence Learning Machine learning Computational linguistics Computational neuroscience Language modeling Word2vec Word embedding Deep learning Softmax function Language model
7	Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2013-12-22 10:44:11 Cybernetics Science Econometrics Network architecture Backpropagation Generalization error Supervised learning Artificial neuron Softmax activation function Neural networks Machine learning Computational neuroscience
8	Ch.6 Feed-forward neural network models 6.6 Multi-layer perceptron classifier [Book, Sect[removed]The multi-layer perceptron (MLP) NN model can easily be modified for classification problems. If only 2 classes C1 and C2 , Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-24 18:43:08 Mathematics Perceptron Activation function Multilayer perceptron Softmax activation function Radial basis function Neuron Logistic function Posterior probability Neural networks Cybernetics Science
9	0112-0140_Rev _SoftMax Pro Software user guide.book Add to Reading List Source URL: icob.sinica.edu.tw Language: English - Date: 2013-10-08 22:45:00 Mass spectrometry software Proteomics Bioinformatics Microtiter plate Validation Plate reader Laboratory information management system Adobe Flex Windows Laboratory equipment Science Software
10	ZUR GESCHICHTE DER DOMMUSIK (Melitta Ebenbauer) VORBEMERKUNGEN Add to Reading List Source URL: java.develop.softmax.at Language: German - Date: 2009-03-11 13:31:56