Showing 5 Result(s)

AI Learns to Park

AI Learns to Park is a series of YouTube videos I released on my Channel about a machine learning project I did in my spare time, where I trained an Agent to learn how to park a car, including parallel parking. I used the Unity engine in combination with the ML-Agents framework. The AI consists …

Explained in A Minute - Neural Networks

Explained In A Minute

Explained In A Minute is a series of very short explainer videos, which aims at explaining complicated technical principles in a straight-forward and simple way. I create the entire animation and voice over of these videos myself. Description I started the series with an explanation of feedforward Neural Networks. When I learned about Neural Networks …

Deep Learning Cars

A 2D simulation in which cars learn to maneuver through a course by themselves, using a neural network and evolutionary algorithms. The entire source code of this project is open-source and can be found on my Github repository. Description At the start of each generation 20 cars are spawned. Each car has its own neural …

‘Blocked’

Blocked is a 2D top-down zombie-shooter in which you fight against multiple waves of zombies. I created the entire engine and all assets of this game myself first using Java and later C#. Description Blocked originates from one of my Java projects, which I continued working on as my first MultiMediaProject at the University of …

Pathfinding using the A*-Algorithm

This java app visualizes the A*-Algorithm. I used it to explain the algorithm in one of my videos and in a talk I held at university. You can download it from my A* explainer repository. Description This program visually illustrates the step by step processes of the A*-Algorithm. The goal of this algorithm is to …