Computer Vision and Machine Learning Interest Group

https://venturebeat.com/2018/05/31/university-of-toronto-researchers-develop-ai-that-can-defeat-facial-recognition-systems/

University of Toronto researchers develop AI that can defeat facial recognition systems Researchers at the University of Toronto have developed an adversarial neural network that can defeat facial recognition systems.

https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data List of Best AI Cheat Sheets

https://www.theatlantic.com/technology/archive/2017/06/artificial-intelligence-develops-its-own-non-human-language/530436/?utm_source=msn

An Artificial Intelligence Developed Its Own Non-Human Language When Facebook trained chatbots to negotiate with one another, the bots made up their own way of communicating. 

http://cv-tricks.com/tensorflow-tutorial/keras/

Keras Tensorflow tutorial: Practical guide from getting started to developing complex deep neural network In this Keras Tensorflow tutorial, learn to install Keras, understand Sequential model & functional API to build VGG and SqeezeNet networks with example code

Bias-Variance Tradeoff in Machine Learning

http://www.learnopencv.com/bias-variance-tradeoff-in-machine-learning/

Bias-Variance Tradeoff in Machine Learning | Learn OpenCV In this post, we explain the bias-variance tradeoff in machine learning and discuss ways to minimize errors. We also discuss the problem of model selection.