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6CS224n: Natural Language Processing with Deep Learning
http://web.stanford.edu/class/cs224n/syllabus.html
2 months ago by @schwemmlein
coursedeeplearningnlpnnresourcesstanford
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3Feature Visualization
https://distill.pub/2017/feature-visualization/
5 months ago by @bshanks
deeplearndeeplearningfeaturelayerneuralnetnnetvisualizationvisualize
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1[1608.08225] Why does deep and cheap learning work so well?
https://arxiv.org/abs/1608.08225
5 months ago by @bshanks
deeplearndeeplearningneuralnetneuralnetworknnet
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1Learning Analytics For Course Adaptivity
SOWISO Blog | Online Math Learning Environment for Higher Education
8 months ago by @ereidt
deeplearninghigheredlearninganalyticsmathprogress
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3AI and Deep Learning in 2017 – A Year in Review – WildML
http://www.wildml.com/2017/12/ai-and-deep-learning-in-2017-a-year-in-review/
10 months ago by @thoni
deeplearning
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2AlphaGo Zero: Learning from scratch | DeepMind
https://deepmind.com/blog/alphago-zero-learning-scratch/
12 months ago by @albinzehe
alphagodeeplearningdeepmindneuralnetreinforcementlearning
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6oxford-cs-deepnlp-2017/lectures: Oxford Deep NLP 2017 course
Lecture Slides
a year ago by @thoni
deeplearninglanguagenaturalnlpprocessing
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2Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
https://startupsventurecapital.com/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
a year ago by @bshanks
cheatsheetdeeplearndeeplearningneuralnetnnetpandaspython
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1A novel approach to neural machine translation | Engineering Blog | Facebook Code
https://code.facebook.com/posts/1978007565818999/a-novel-approach-to-neural-machine-translation/
a year ago by @bshanks
attentiondeeplearningneuralnetnnettranslate
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1Newmu/dcgan_code: Deep Convolutional Generative Adversarial Networks
https://github.com/Newmu/dcgan_code
2 years ago by @albinzehe
adversarialdeeplearningganneuralnet
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1Machine Learning is Fun Part 7: Abusing Generative Adversarial Networks to Make 8-bit Pixel Art
https://medium.com/@ageitgey/abusing-generative-adversarial-networks-to-make-8-bit-pixel-art-e45d9b96cee7
2 years ago by @albinzehe
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3PyTorch
http://pytorch.org/
2 years ago by @thoni
deeplearningnetworksneuralpytorch
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3Practical Deep Learning For Coders—18 hours of lessons for free
http://course.fast.ai/
2 years ago by @bshanks
coursedeeplearndeeplearningintrokagglekerasmlneuralnetnnet
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3Numerical Optimization: Understanding L-BFGS
http://aria42.com/blog/2014/12/understanding-lbfgs
2 years ago by @tobiaskoopmann
bfgsdeeplearningfinaloptimizationthema:on_optimization_methods_for_deep_learning
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1Optimization: Stochastic Gradient Descent
http://ufldl.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent/
2 years ago by @tobiaskoopmann
deeplearningfinaloptimizationthema:on_optimization_methods_for_deep_learning
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4songrotek/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
https://github.com/songrotek/Deep-Learning-Papers-Reading-Roadmap
2 years ago by @bshanks
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2The Neural Network Zoo - The Asimov Institute
http://www.asimovinstitute.org/neural-network-zoo/
2 years ago by @bshanks
deeplearndeeplearningintromlneuralnetnnettoread+++
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1How to Get a Job In Deep Learning
http://blog.deepgram.com/how-to-get-a-job-in-deep-learning/
2 years ago by @bshanks
deeplearndeeplearningintromlneuralnetnnet
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1The Simple + Practical Path to Machine Learning Capability: Models with Learned Parameters
https://indico.io/blog/simple-practical-path-to-machine-learning-capability-part3/
2 years ago by @bshanks
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1WaveNet: A Generative Model for Raw Audio | DeepMind
https://deepmind.com/blog/wavenet-generative-model-raw-audio/
2 years ago by @bshanks
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1Deep Learning with Python
F. Chollet. Manning, (November 2017)
3 months ago by @jaeschke
aideeplearningml
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2Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Recurrent Neural Network
P. Wang, Y. Qian, F. Soong, L. He, and H. Zhao. CoRR (2015)
4 months ago by @tobias.koopmann
deeplearningmlnlpnernlp
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15Deep Learning
I. Goodfellow, Y. Bengio, and A. Courville. Adaptive computation and machine learning MIT Press, (2016)
5 months ago by @tobias.koopmann
deeplearningmamachinelearning
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2Facial landmark detection by deep multi-task learning
Z. Zhang, P. Luo, C. Loy, and X. Tang. European Conference on Computer Vision, page 94--108. Springer, (2014)
5 months ago by @alexgrimm94
deeplearningmultitask
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9A unified architecture for natural language processing: Deep neural networks with multitask learning
R. Collobert, and J. Weston. Proceedings of the 25th international conference on Machine learning, volume 307 of ICML '08, page 160--167. ACM, ACM, (2008)
5 months ago by @alexgrimm94
deeplearningmultitasknlp
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7Glove: Global Vectors for Word Representation.
J. Pennington, R. Socher, and C. Manning. EMNLP, 14, page 1532--1543. (2014)
5 months ago by @albinzehe
deeplearningglovemlnlp
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2Hierarchical Multiscale Recurrent Neural Networks
J. Chung, S. Ahn, and Y. Bengio. ICLR, (2017)
5 months ago by @sidbrahma
deeplearning
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1Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
J. Chung, {. Gülcehre, K. Cho, and Y. Bengio. NIPS Deep Learning Workshop, (2014)
5 months ago by @sidbrahma
deeplearning
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3Dilated Recurrent Neural Networks
S. Chang, Y. Zhang, W. Han, M. Yu, X. Guo, W. Tan, X. Cui, M. Witbrock, M. Hasegawa-Johnson, and T. Huang. NIPS, (2017)cite arxiv:1710.02224Comment: Accepted by NIPS 2017.
5 months ago by @sidbrahma
deeplearning
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1Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks.
V. Campos, B. Jou, X. i Nieto, J. Torres, and S. Chang. ICLR, (2018)
5 months ago by @sidbrahma
deeplearning
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1Quasi-Recurrent Neural Networks.
J. Bradbury, S. Merity, C. Xiong, and R. Socher. NIPS, (2017)
5 months ago by @sidbrahma
deeplearning
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9Learning Long-Term Dependencies With Gradient Descent Is Difficult
Y. Bengio, P. Simard, and P. Frasconi. IEEE Transactions on Neural Networks 5 (2): 157--166 (1994)
5 months ago by @sidbrahma
deeplearning
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12Dropout: 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)
6 months ago by @nosebrain
deeplearningdropoutnetworkneuralregularization
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12Dropout: 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)
6 months ago by @albinzehe
deeplearningneuralnetregularization
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5Understanding 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 months ago by @albinzehe
deeplearninginitialisationneuralnet
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5A C-LSTM Neural Network for Text Classification.
C. Zhou, C. Sun, Z. Liu, and F. Lau. CoRR (2015)
6 months ago by @thoni
cnndeep_learningdeeplearningrnntext
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2Deep Learning for Ontology Reasoning
P. Hohenecker, and T. Lukasiewicz. arXiv preprint arXiv:1705.10342 (2017)
8 months ago by @thoni
deeplearningontologyreasoningsolvatio
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1Named entity recognition for Amharic using deep learning
B. Gambäck, and U. Sikdar. 2017 IST-Africa Week Conference (IST-Africa), page 1-8. (May 2017)
8 months ago by @asmelash
NERamharicdeepLearningethiopic
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5A C-LSTM Neural Network for Text Classification.
C. Zhou, C. Sun, Z. Liu, and F. Lau. CoRR (2015)
8 months ago by @dallmann
cnndeep_learningdeeplearningrnntext
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1On Early-stage Debunking Rumors on Twitter: Leveraging the Wisdom of Weak Learners
T. Nguyen, and C. Niederée. International Conference on Social Informatics, page 141--158. Springer, Cham, (2017)
10 months ago by @tumeteor
deeplearningmyownrumordetection
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