Hacker News
- Oxford Deep NLP – An advanced course on natural language processing https://github.com/oxford-cs-deepnlp-2017/lectures 66 comments
Linking pages
- GitHub - Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. https://github.com/Developer-Y/cs-video-courses 148 comments
- GitHub - prakhar1989/awesome-courses: List of awesome university courses for learning Computer Science! https://github.com/prakhar1989/awesome-courses 137 comments
- GitHub - terryum/awesome-deep-learning-papers: The most cited deep learning papers https://github.com/terryum/awesome-deep-learning-papers 47 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- Learning Deep Learning with Keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html 5 comments
- GitHub - vyraun/Megalodon: Various ML/DL Resources organised at a single place. https://github.com/vyraun/Megalodon 0 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 0 comments
- GitHub - keon/awesome-nlp: A curated list of resources dedicated to Natural Language Processing (NLP) https://github.com/keonkim/awesome-nlp 0 comments
- Machine Learning Weekly Review №7 | by Machine Learning Digest | ML Review https://medium.com/mlreview/machine-learning-weekly-review-7-93b9a7a7516c 0 comments
- The startup scene in Romania: €11.3m raised & €72m in exits in 2016 alone | by Bogdan Florin Ceobanu | Medium https://medium.com/@studios/the-startup-scene-in-romania-11-3m-raised-72m-in-exits-in-2016-alone-1c9872bf9512 0 comments
- My Curated List of AI and Machine Learning Resources from Around the Web | by Robbie Allen | Machine Learning in Practice | Medium https://medium.com/machine-learning-in-practice/my-curated-list-of-ai-and-machine-learning-resources-from-around-the-web-9a97823b8524 0 comments
Linked pages
- The Unreasonable Effectiveness of Recurrent Neural Networks https://karpathy.github.io/2015/05/21/rnn-effectiveness/ 434 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- Weltweit führender Anbieter von KI-Computing | NVIDIA https://nvidia.com 59 comments
- Cloud Computing Services | Microsoft Azure https://azure.microsoft.com 41 comments
- Uncertainty in Deep Learning (PhD Thesis) | Yarin Gal - Blog | Cambridge Machine Learning Group http://mlg.eng.cam.ac.uk/yarin/blog_2248.html 14 comments
- Deep Learning, NLP, and Representations - colah's blog http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/ 9 comments
- http://papers.nips.cc/paper/5945-teaching-machines-to-read-and-comprehend.pdf 3 comments
- http://arxiv.org/pdf/1502.03044.pdf 3 comments
- [1611.09913] Capacity and Trainability in Recurrent Neural Networks https://arxiv.org/abs/1611.09913 2 comments
- http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf 0 comments
- https://dennybritz.com/posts/wildml/understanding-convolutional-neural-networks-for-nlp/ http://www.wildml.com/2015/11/understanding-convolutional-neural-networks-for-nlp/ 0 comments
- [1607.03474] Recurrent Highway Networks http://arxiv.org/abs/1607.03474 0 comments
- DeepMind https://www.deepmind.com 0 comments
- Smerity.com: Explaining and illustrating orthogonal initialization for recurrent neural networks http://smerity.com/articles/2016/orthogonal_init.html 0 comments
- [1602.02410] Exploring the Limits of Language Modeling http://arxiv.org/abs/1602.02410 0 comments
- [1409.0473] Neural Machine Translation by Jointly Learning to Align and Translate http://arxiv.org/abs/1409.0473 0 comments
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