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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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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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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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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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1niftynet
https://niftynet.io/
4 years ago by @nosebrain
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3Reading Text in the Wild with Convolutional Neural Networks
M. Jaderberg, K. Simonyan, A. Vedaldi, and A. Zisserman. International Journal of Computer Vision, 116 (1): 1--20 (2016)
7 years ago by @nosebrain
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4Rich feature hierarchies for accurate object detection and semantic segmentation.
R. Girshick, J. Donahue, T. Darrell, and J. Malik. CoRR, (2013)
7 years ago by @nosebrain
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12Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.
S. Ren, K. He, R. Girshick, and J. Sun. NIPS, page 91-99. (2015)
7 years ago by @nosebrain
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8Fast R-CNN
R. Girshick. (2015)
7 years ago by @nosebrain
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3#TagSpace: Semantic Embeddings from Hashtags.
J. Weston, S. Chopra, and K. Adams. EMNLP, page 1822-1827. ACL, (2014)
7 years ago by @nosebrain
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7Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
B. Hidasi, M. Quadrana, A. Karatzoglou, and D. Tikk. Proceedings of the 10th ACM Conference on Recommender Systems, page 241--248. New York, NY, USA, ACM, (2016)
7 years ago by @nosebrain
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4Pixel Recursive Super Resolution
R. Dahl, M. Norouzi, and J. Shlens. (2017)cite arxiv:1702.00783.
7 years ago by @nosebrain
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26Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. Hinton. Advances in neural information processing systems, page 1097--1105. (2012)
7 years ago by @nosebrain
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3Convolutional Matrix Factorization for Document Context-Aware Recommendation
D. Kim, C. Park, J. Oh, S. Lee, and H. Yu. Proceedings of the 10th ACM Conference on Recommender Systems, page 233--240. New York, NY, USA, ACM, (2016)
7 years ago by @nosebrain
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6Classifying Relations by Ranking with Convolutional Neural Networks.
C. dos Santos, B. Xiang, and B. Zhou. ACL (1), page 626-634. The Association for Computer Linguistics, (2015)
7 years ago by @nosebrain
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BibSonomy

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

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

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

1CS231n Convolutional Neural Networks for Visual Recognition

1niftynet

publications (hide)30
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3Reading Text in the Wild with Convolutional Neural Networks

4Rich feature hierarchies for accurate object detection and semantic segmentation.

12Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

8Fast R-CNN

3#TagSpace: Semantic Embeddings from Hashtags.

7Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

4Pixel Recursive Super Resolution

26Imagenet classification with deep convolutional neural networks

3Convolutional Matrix Factorization for Document Context-Aware Recommendation

6Classifying Relations by Ranking with Convolutional Neural Networks.

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