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1niftynet
https://niftynet.io/
5 years ago by @nosebrain
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1CS231n Convolutional Neural Networks for Visual Recognition
Course materials and notes for Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.
5 years ago by @nosebrain
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6MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges
http://yann.lecun.com/exdb/mnist/
6 years ago by @nosebrain
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2karpathy/neuraltalk: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
https://github.com/karpathy/neuraltalk
7 years ago by @nosebrain
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1ritchieng/NumNum: Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
NumNum - Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
7 years ago by @nosebrain
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5ConvNetJS: Deep Learning in your browser
http://cs.stanford.edu/people/karpathy/convnetjs/
8 years ago by @nosebrain
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5Keras Documentation
https://keras.io/
8 years ago by @nosebrain
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3Recurrent Convolutional Neural Network for Sequential Recommendation
C. Xu, P. Zhao, Y. Liu, J. Xu, V. S.Sheng, Z. Cui, X. Zhou, and H. Xiong. The World Wide Web Conference, page 3398–3404. New York, NY, USA, Association for Computing Machinery, (2019)
4 years ago by @nosebrain
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10Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
J. Tang, and K. Wang. Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining - WSDM \textquotesingle18, page 565--573. ACM Press, (2018)
5 years ago by @nosebrain
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2Detecting Cancer Metastases on Gigapixel Pathology Images
Y. Liu, K. Gadepalli, M. Norouzi, G. Dahl, T. Kohlberger, A. Boyko, S. Venugopalan, A. Timofeev, P. Nelson, G. Corrado and 3 other author(s). (2017)cite arxiv:1703.02442Comment: Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization".
5 years ago by @nosebrain
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14Convolutional Neural Networks for Sentence Classification
Y. Kim. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014, October 25-29, 2014, Doha, Qatar, A meeting of SIGDAT, a Special Interest Group of the ACL, page 1746--1751. (2014)
6 years ago by @nosebrain
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3Deep Neural Networks for Object Detection.
C. Szegedy, A. Toshev, and D. Erhan. NIPS, page 2553-2561. (2013)
6 years ago by @nosebrain
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4Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
J. You, Y. Wang, A. Pal, P. Eksombatchai, C. Rosenberg, and J. Leskovec. Proceedings of the international conference on the World Wide Web., (2019)
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.
7 years ago by @nosebrain
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8Convolutional Sequence to Sequence Learning
J. Gehring, M. Auli, D. Grangier, D. Yarats, and Y. Dauphin. CoRR, (2017)
7 years ago by @nosebrain
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5A C-LSTM Neural Network for Text Classification
C. Zhou, C. Sun, Z. Liu, and F. Lau. CoRR, (2015)
7 years ago by @nosebrain
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26Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. (2015)cite arxiv:1512.03385Comment: Tech report.
7 years ago by @nosebrain
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3SSD: Single Shot MultiBox Detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Fu, and A. Berg. Computer Vision -- ECCV 2016, page 21--37. Cham, Springer International Publishing, (2016)
7 years ago by @nosebrain
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1Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network.
X. Yang, M. Yümer, P. Asente, M. Kraley, D. Kifer, and C. Giles. CoRR, (2017)
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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2Recursive Neural Language Architecture for Tag Prediction.
S. Kataria. CoRR, (2016)
7 years ago by @nosebrain
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10Character-level Convolutional Networks for Text Classification
X. Zhang, J. Zhao, and Y. LeCun. NIPS, page 649-657. (2015)
7 years ago by @nosebrain
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3Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
R. Johnson, and T. Zhang. NIPS, page 919-927. (2015)
7 years ago by @nosebrain
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2An Overview of RNN and CNN Techniques for Spam Detection in Social Media
G. Jain, Manisha, and B. Agarwal. IJARCSSE, 6 (10): 126--132 (2016)
7 years ago by @nosebrain
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2ConTagNet: Exploiting User Context for Image Tag Recommendation.
Y. Rawat, and M. Kankanhalli. ACM Multimedia, page 1102-1106. ACM, (2016)
7 years ago by @nosebrain
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1End-To-End Spam Classification With Neural Networks
C. Lennan, B. Naber, J. Reher, and L. Weber. (2016)
7 years ago by @nosebrain
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BibSonomy

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1niftynet

1CS231n Convolutional Neural Networks for Visual Recognition

6MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges

2karpathy/neuraltalk: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

1ritchieng/NumNum: Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

5ConvNetJS: Deep Learning in your browser

5Keras Documentation

publications (hide)30
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3Recurrent Convolutional Neural Network for Sequential Recommendation

10Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

2Detecting Cancer Metastases on Gigapixel Pathology Images

14Convolutional Neural Networks for Sentence Classification

3Deep Neural Networks for Object Detection.

4Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems

5Recurrent Convolutional Neural Networks for Text Classification

1Comparative Study of CNN and RNN for Natural Language Processing

8Convolutional Sequence to Sequence Learning

5A C-LSTM Neural Network for Text Classification

26Deep Residual Learning for Image Recognition

3SSD: Single Shot MultiBox Detector

1Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network.

2Applying deep learning to answer selection: A study and an open task

2Recursive Neural Language Architecture for Tag Prediction.

10Character-level Convolutional Networks for Text Classification

3Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding

2An Overview of RNN and CNN Techniques for Spam Detection in Social Media

2ConTagNet: Exploiting User Context for Image Tag Recommendation.

1End-To-End Spam Classification With Neural Networks

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