Deep learning
Machine learning methods that use deep Neural networks, which are trained via Stochastic gradient descent in most cases.
Sometimes it can be an unnecessary complexity^{1}^{2}.
What are the lessons? Lessons from deep learning
Can complex systems or network science perspectives help? Complex systems and deep learning.
Topics
 Architectures and methods
 Brain and deep learning
 Theory of deep learning
Courses
 CS231n: Convolutional Neural Networks for Visual Recognition
 CS224n: Natural Language Processing with Deep Learning
 Coursera: deep learning specialization
 Microsoft Professional Program for Artificial Intelligence track
 Google: deep learning
 Hugo Larochelle: Neural networks
 Geoffrey Hinton Coursera videos
 Probabilistic Graphical Model by Daphne Koller
 Deep learning by Lex Fridman: https://github.com/lexfridman/mitdeeplearning
Books
Tools
Visualization
Talks and tutorials
 A Tutorial on Deep Learning Part 1: Nonlinear Classifiers and The Backpropagation Algorithm by Quoc Le
 Deep Learning Basics: Neural Networks, Backpropagation and Stochastic Gradient Descent
 ufldl stanford:Deep Learning Tutorials
 sjchoi86:Deep learning tutorials
 Unsupervised Feature Learning and Deep Learning by Andrew Ng
 Use Google’s Word2Vec for movie reviews
 Using convolutional neural nets to detect facial keypoints tutorial
 Deep Learning: Doubly Easy and Doubly Powerful with GraphLab Create  GraphLab
 ICML2013 Deep learning tutorial by Yann LeCun and Marc’Aurelio Ranzato
Articles
 http://fastml.com/deeplearningmadeeasy/
 So You Wanna Try Deep Learning?
 Recommending music on Spotify with deep learning
 Inceptionism: Going Deeper into Neural Networks
References
Review
Augmenting small datasets with transformations
Noise
Adversarial examples
 Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
 Universal adversarial perturbations
About baselines
Natural language processing
Binarization
Others
 http://blog.kaggle.com/2012/11/01/deeplearninghowididitmerck1stplaceinterview/
 Building Highlevel Features Using Large Scale Unsupervised Learning
 Deep Neural Networks for Acoustic Modeling in Speech Recognition
 ImageNet Classification with Deep Convolutional Neural Networks
 Large Scale Distributed Deep Networks
 How transferable are features in deep neural networks?
 Humanlevel control through deep reinforcement learning

One neuron versus deep learning in aftershock prediction, https://www.nature.com/articles/s4158601915828 ↩

Rajkomar2018scalable  simple logistic regression performs as well as the deep model. https://twitter.com/ShalitUri/status/1009534668880928769?s=20 ↩