Paper On The Origin of Deep Learning

From the March 2nd 2017 Data Science Weekly – Issue 171 Editor’s Pick

On the Origin of Deep Learning
This paper reviews the evolutionary history of deep learning models. It covers the genesis of neural networks when associationism modeling of the brain is studied, through to the models that dominate the last decade of research in deep learning and extends to recent popular models like variational autoencoder and generative adversarial nets: