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118 Commands to Monitor Network Bandwidth on Linux server – BinaryTides
18 Commands to Monitor Network Bandwidth on Linux server – BinaryTides
4 years ago by @nosebrain
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112a: Neural Nets - YouTube
*NOTE: These videos were recorded in Fall 2015 to update the Neural Nets portion of the class. MIT 6.034 Artificial Intelligence, Fall 2010 View the complete...
6 years ago by @nosebrain
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4Written Memories: Understanding, Deriving and Extending the LSTM - R2RT
https://r2rt.com/written-memories-understanding-deriving-and-extending-the-lstm.html
6 years ago by @nosebrain
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1neural-nuts/image-caption-generator: A Neural Network based generative model for captioning images using Tensorflow
image-caption-generator - A Neural Network based generative model for captioning images using Tensorflow
7 years ago by @nosebrain
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2A Neural Network Playground
http://playground.tensorflow.org/#activation=sigmoid&batchSize=10&dataset=xor&regDataset=reg-plane&learningRate=0.1&regularizationRate=0&noise=0&networkShape=8&seed=0.91644&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false
7 years ago by @nosebrain
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1Caffe | Model Zoo
http://caffe.berkeleyvision.org/model_zoo.html
8 years ago by @nosebrain
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1Understanding Neural Networks Through Deep Visualization
http://yosinski.com/deepvis
8 years ago by @nosebrain
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4Torch | Scientific computing for LuaJIT.
http://torch.ch/
8 years ago by @nosebrain
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1GitHub - Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
8 years ago by @nosebrain
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5Keras Documentation
https://keras.io/
8 years ago by @nosebrain
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1Bacula | Open Source Backup, Enterprise ready, Network Backup Tool for Linux, Unix, Mac, and Windows
http://bacula.org/
10 years ago by @nosebrain
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4Ohloh, the open source network
https://www.ohloh.net/
11 years ago by @nosebrain
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9BabelNet 2.0 - A very large multilingual encyclopedic dictionary and semantic network
http://babelnet.org/
11 years ago by @nosebrain
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5Java Neural Network Framework Neuroph
Neuroph is lightweight and flexible Java neural network framework which supports common neural network architectures and learning rules.
11 years ago by @nosebrain
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1Private Eye | Free Network Monitor for Mac
http://radiosilenceapp.com/private-eye
12 years ago by @nosebrain
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1Welcome to NagVis Home! - NagVis.org
NagVis is a visualization addon for the well known network managment system Nagios. NagVis can be used to visualize Nagios Data, e.g. to display IT processes like a mail system or a network infrastructure.
12 years ago by @nosebrain
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31Weka 3 - Data Mining with Open Source Machine Learning Software in Java
http://www.cs.waikato.ac.nz/ml/weka/
13 years ago by @nosebrain
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2XING - Das professionelle Netzwerk | XING
XING ist das soziale Netzwerk für Beruf, Geschäft und Karriere. Entdecken Sie alte und neue Kontakte, Jobs, Events, Unternehmen, Gruppen und Diskussionsforen.
13 years ago by @nosebrain
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22ResearchGate
ResearchGate is a network dedicated to science and research. Connect, collaborate and discover scientific publications, jobs and conferences. All for free.
13 years ago by @nosebrain
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5Homepage of Zabbix :: An Enterprise-Class Open Source Distributed Monitoring Solution
Zabbix is an enterprise-class open source distributed monitoring solution for networks and applications.
13 years ago by @nosebrain
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publications (hide)54
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3Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction.
M. Elbayad, L. Besacier, and J. Verbeek. CoNLL, page 97-107. Association for Computational Linguistics, (2018)
4 years ago by @nosebrain
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1ECG multi-class classification using neural network as machine learning model
H. Lassoued, and R. Ketata. 2018 International Conference on Advanced Systems and Electric Technologies (IC_ASET), page 473-478. (March 2018)
5 years ago by @nosebrain
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classification
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3Attention-Based Neural Tag Recommendation
J. Yuan, Y. Jin, W. Liu, and X. Wang. Database Systems for Advanced Applications, page 350--365. Cham, Springer International Publishing, (2019)
5 years ago by @nosebrain
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5KGAT: Knowledge Graph Attention Network for Recommendation
X. Wang, X. He, Y. Cao, M. Liu, and T. Chua. Proceedings of the 25th Conference on Knowledge Discovery and Data Mining, (2019)
5 years ago by @nosebrain
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proposal:bmbf2019
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8Understanding the difficulty of training deep feedforward neural networks.
X. Glorot, and Y. Bengio. AISTATS, volume 9 of JMLR Proceedings, page 249-256. JMLR.org, (2010)
6 years ago by @nosebrain
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4Early Stopping-But When?
L. Prechelt. Neural Networks: Tricks of the Trade, volume 1524 of Lecture Notes in Computer Science, Springer, (1996)
6 years ago by @nosebrain
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2Very Deep Convolutional Networks for Text Classification
H. Schwenk, L. Barrault, A. Conneau, and Y. LeCun. EACL (1), page 1107-1116. Association for Computational Linguistics, (2017)
6 years ago by @nosebrain
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3Image Spam Classification Using Neural Network
M. Chowdhury, J. Gao, and M. Chowdhury. Security and Privacy in Communication Networks, page 622--632. Cham, Springer International Publishing, (2015)
6 years ago by @nosebrain
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5Recurrent Convolutional Neural Networks for Text Classification
S. Lai, L. Xu, K. Liu, and J. Zhao. AAAI, 333, page 2267--2273. (2015)
6 years ago by @nosebrain
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1Comparative Study of CNN and RNN for Natural Language Processing
W. Yin, K. Kann, M. Yu, and H. Schütze. (2017)cite arxiv:1702.01923Comment: 7 pages, 11 figures.
6 years ago by @nosebrain
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2Effective Approaches to Attention-based Neural Machine Translation.
T. Luong, H. Pham, and C. Manning. EMNLP, page 1412-1421. The Association for Computational Linguistics, (2015)
7 years ago by @nosebrain
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19Sequence to sequence learning with neural networks
I. Sutskever, O. Vinyals, and Q. Le. Advances in neural information processing systems, page 3104--3112. (2014)
7 years ago by @nosebrain
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30Deep Learning
I. Goodfellow, Y. Bengio, and A. Courville. Adaptive computation and machine learning MIT Press, (2016)
7 years ago by @nosebrain
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11Bidirectional Recurrent Neural Networks
M. Schuster, and K. Paliwal. Trans. Sig. Proc., 45 (11): 2673--2681 (November 1997)
7 years ago by @nosebrain
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4Simplified Minimal Gated Unit Variations for Recurrent Neural Networks
J. Heck, and F. Salem. CoRR, (2017)
7 years ago by @nosebrain
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9Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
K. Cho, B. van Merrienboer, Ç. Gülçehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio. EMNLP, page 1724-1734. ACL, (2014)
7 years ago by @nosebrain
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17Dropout: a simple way to prevent neural networks from overfitting
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. Journal of machine learning research, 15 (1): 1929--1958 (2014)
7 years ago by @nosebrain
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3Recurrent Highway Networks.
J. Zilly, R. Srivastava, J. Koutník, and J. Schmidhuber. CoRR, (2016)
7 years ago by @nosebrain
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6Ask the GRU: Multi-Task Learning for Deep Text Recommendations
T. Bansal, D. Belanger, and A. McCallum. Proceedings of the 10th ACM Conference on Recommender Systems, page 107--114. New York, NY, USA, ACM, (2016)
7 years ago by @nosebrain
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2Applying deep learning to answer selection: A study and an open task
M. Feng, B. Xiang, M. Glass, L. Wang, and B. Zhou. ASRU, page 813-820. IEEE, (2015)
7 years ago by @nosebrain
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