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Plon.io
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Datascience online interactive environment for Python, Octave, R, Julia
Datascience online interactive environment for Python, Octave, R, Julia

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Another awesome materials for computer vision with use of neural networks, #classification, #segmentation #detection https://buff.ly/2ukNMKk
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Really awesome materials about recurrent neural networks, articles, books and codes #rnn #deeplearning #github
awesome-rnn
awesome-rnn
github.com
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Very important research! http://buff.ly/2sTIxeY…/developers-use-spaces-make-mo…/
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List of fundamental deep learning publications. This is must read for those of you who wants to learn and start with convolutional, recurrent nets and GAN's.

1. AlexNet (2012)
2. ZF Net (2013)
3. VGG Net (2014)
4. GoogLeNet (2015)
5. Microsoft ResNet (2015)
6. Region Based CNNs (R-CNN - 2013, Fast R-CNN - 2015, Faster R-CNN - 2015)
7. Generative Adversarial Networks (2014)
8. Generating Image Descriptions (2014)
9. Spatial Transformer Networks (2015)

I have read 7/9 and how about you?
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CS 20SI: Tensorflow for Deep Learning Research, another good deep learning course from stanford. There are slides and lecture notes.
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Nice introduction to #neuralnets transfer learning with VGG architecture with use of #pytorch
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