Next Meetup

[One week hack] Discuss classic deep learning articles and coding
Tones of DL are there, but here are the fundamental ideas. Come and discuss them: A Few Useful Things to Know about Machine Learning ( by Pedro Domingos Deep Learning ( by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton Representation Learning: A Review and New Perspectives ( by Yoshua Bengio, Aaron Courville, Pascal Vincent Convolutional Networks for Images, Speech and Time-Series ( by Yann LeCun and Yoshua Bengio Learning Deep Architectures for AI ( by Yoshua Bengio ImageNet Classification with Deep Convolutional Neural Networks ( by Alex Krizhevsky, Ilya Sutskever and Geoffery Hinton LSTM: A Search Space Odyssey ( by Klaus Greff, Rupesh K. Srivastava, Jan Koutník, Bas R. Steunebrink and Jürgen Schmidhuber Distributed Representations of Words and Phrases and Their Compositionality ( by Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado and Jeffrey Dean Recurrent Neural Network Based Language Model ( by Tomas Mikolov, Martin Karafiat, Lukas Burget, Jan Cernocky, Sanjeev Khudanpur Sequence to Sequence Learning with Neural Networks ( by Ilya Sutskever, Oriol Vinyals and Quoc V. Le Text Understanding from Scratch ( by Xiang Zhang and Yann LeCun

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