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Reading List « Deep Learning

Reading List « Deep Learning

CS231n Convolutional Neural Networks for Visual Recognition

CS231n Convolutional Neural Networks for Visual Recognition

Most Active Data Scientists, Free Books, Notebooks & Tutorials on Github

Most Active Data Scientists, Free Books, Notebooks & Tutorials on Github

The Unreasonable Effectiveness of Recurrent Neural Networks | Open Data Science

The Unreasonable Effectiveness of Recurrent Neural Networks | Open Data Science

[1312.6114] Auto-Encoding Variational Bayes

[1312.6114] Auto-Encoding Variational Bayes

[1511.02386] Hierarchical Variational Models

[1511.02386] Hierarchical Variational Models

Become an OpenCV guru

Become an OpenCV guru

[1508.01084] Deep Convolutional Networks are Hierarchical Kernel Machines

[1508.01084] Deep Convolutional Networks are Hierarchical Kernel Machines

Eric Jang: A Beginner's Guide to Variational Methods: Mean-Field Approximation

Eric Jang: A Beginner's Guide to Variational Methods: Mean-Field Approximation

Variational Autoencoders from two perspectives: deep learning and graphical models.

Variational Autoencoders from two perspectives: deep learning and graphical models.