Open Source Visual Inspector for Neuroevolution (VINE)

In optimizing their transportation services, Uber uses evolutionary strategies and genetic algorithms to train deep neural networks through reinforcement learning. A lot of difficult words in one sentence; you can imagine the complexity of the process. Because it is particularly difficult to observe the underlying dynamics of this learning process in neural network optimization, Uber…

Super Resolution: A Photo Enhancer AI

In the video below, one of my favorite YouTube channels (Two Minute Papers) discusses a new super resolution project where academic scholars taught a neural network to improve low quality photo’s. The researchers took the same picture with multiple camera’s of varying quality and allowed a neural network to learn how the lowest quality pictures can be adjusted to…

Super Resolution: Increasing image quality CSI-like

Super-resolution imaging is a class of techniques that enhance the resolution of an imaging system (Wikipedia). The entertainment series CSI has been ridiculed for relying on exaggerated and unrealistic applications of it: Until recently, such upscaling of images were though near impossible. However, we have evidenced some pretty amazing breakthroughs in the deep learning space recently. Artificial Intelligence can think ahead, learn physics, and…

Facial Recognition Challenge: Chad Smith & Will Ferrell

The below summarizes Part 4 of a medium.com series by Adam Geitgey. Check out the original articles: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! Adam Geitgey likes to write about computers and machine learning. He explains machine learning as “generic algorithms that can tell you something interesting about a set of data without you having to…

Neural Networks play Super Mario Bros & Mario Kart

Seth Bling calls himself a video game designer, a hacker and an engineer. You might know him from MarI/O: his neural network that got extremely good to at playing Super Mario Bros. The video below shows the genetic approach Seth used to train this neural network. Seth randomly generated a starting population of neural networks where the…

GAN: Generative Adversarial Networks

A Generative Adversarial Network, GAN in short, is a machine learning architecture where two neural networks compete against each other. One of them functions as a discriminator, seeking to optimize its classification of data (i.e., determine whether or not there is a cat in a picture). The other one functions as a generator, seeking to best…

The Magic Sudoku App

A few weeks ago, Magic Sudoku was released for iOS11. This app by a company named Hatchlings automatically solves sudoku puzzles using a combination of Computer Vision, Machine Learning, and Augmented Reality. The app works on iPad Pro’s and iPhone 6s or above and can be downloaded from the App Store. Magic Sudoku gives a magical experience…

Neural Networks 101

Last month, a video by 3Blue1Brown has been trending on YouTube, accumulating already over a quarter of a million views. It only lasts 10 minutes but provides a very good and intuitive explanation of the inner workings of Neural Networks (NN): The Machine Learning & Deep Learning book I wrote about recently provides a more substantial explanation of the…