Xander Steenbrugge shared his latest work on LinkedIn yesterday, and I was completely stunned! Xander had been working on, what he called, a “fun side-project”, but which was in my eyes, absolutely awesome. He had used two generative adversarial networks (GANs) to teach one another how to respond visually to changing audio cues. This resulted…
Tag: neuralnetwork
Learn Programming Project-Based: Build-Your-Own-X
Last week, this interesting reddit thread was filled with overviews for cool projects that may help you learn a programming language. The top entries are: Build Your Own X, by Dani Stefanovic Project-based Learning, by Tu Tran Projects from Scratch, by Algory L. Project-based Tutorials in C, by Robby Awesome DIY Software, by Cameron Eagans…
3D visual representations of common neural network architectures
Came across this awesome Youtube video that blew my mind. Definitely a handy resource if you want to explain the inner workings of neural networks. Have a look! Reminded me of my other go-to resource when it comes to explaining neural nets, the playlists by 3Blue1Brown: I’ll surely add these to the other neural network…
Procedural Cave Generation in C# & Unity
Ever wondered what it is like to program computer games? Or even better, what it is like to program programs that program your computer games for you? Then welcome to the wonderful world of procedural game design, such as Spore, Borderlands, and No Man’s Sky. Recently, I have been watching and greatly enjoying this Youtube…
Beating Battleships with Algorithms and AI
Past days, I discovered this series of blogs on how to win the classic game of Battleships (gameplay explanation) using different algorithmic approaches. I thought they might amuse you as well : ) The story starts with this 2012 Datagenetics blog where Nick Berry constrasts four algorithms’ performance in the game of Battleships. The resulting levels…
Tensorflow for R Gallery
Tensorflow is a open-source machine learning (ML) framework. It’s primarily used to build neural networks, and thus very often used to conduct so-called deep learning through multi-layered neural nets. Although there are other ML frameworks — such as Caffe or Torch — Tensorflow is particularly famous because it was developed by researchers of Google’s Brain…
Dragonflies and neural networks
Did you know that dragonflies are one of the most effective and accurate predators alive? And that while it has a brain consisting of very few neurons. Neuroscientist Greg Gage and his colleagues studied how a dragonfly locks onto its preys and captures it within milliseconds. Actually, a dragonfly seems to be little more than…
Generating Pusheen with AI
Zack Nado wrote the best machine learning application I’ve seen so far: a neural network architecture that generates new Pusheen pictures. In his blog, Zack describes his generative adversarial network (GAN) , a special type of machine learning architecture where two neural networks try to fool each other. Zack first gave the discriminator network some real Pusheen images,…
Predicting Employee Turnover at SIOP 2018
The 2018 annual Society for Industrial and Organizational Psychology (SIOP) conference featured its first-ever machine learning competition. Teams competed for several months in predicting the enployee turnover (or churn) in a large US company. A more complete introduction as presented at the conference can be found here. All submissions had to be open source and the…
