Recently I had the opportunity to attend one of the biggest IT conference „Code Europe”. This time I was not participant, but rather exhibitor of my company. We showed people our work culture, interesting projects and encounter people to work with us. One of the attraction was flying „real aircraft” on our flight simulator;) MoreWięcej oCode Europe 2021[…]
I started this course with thought of resolving problem from work. The idea was not so simple: recognition and outlining using vector lines aeronautical objects at the airports on satelite maps. This task was hard, because airports are not the same in every region – let’s compare for example Frankfurt and Dubai airport: As itWięcej oMachine Learning – Summer School of AI on Technical University of GDN[…]
What is a Perceptron? A Perceptron is an algorithm used for supervised learning of binary classifiers. Binary classifiers decide whether an input, usually represented by a series of vectors, belongs to a specific class. In short, a perceptron is a single-layer neural network. They consist of four main parts including input values, weights and bias, net sum, and an activation function.Więcej oMachine Learning – perceptron[…]
Super easy explanation of this topic is on this Polish blog: https://ichi.pro/pl/zrozumienie-matematyki-stojacej-za-gradient-descent-243979318452334 Strongly recommend!
I am participating as reviewer of this Masacchuset Inistitut of Technology course. I always admired this university as one of the best in the world. For me it was always unrecheable to study in USA, but thanks to coronovirus time, I discovered that they lead free courses on different topics. As my recent interest isWięcej oMIT – Machine Learning with Python-From Linear Models to Deep Learning[…]
Unfortunately this year’s edition of this contest was cancelled. However we prepared several presentations, which we would like to share: For sure we will participate in next year’s edition. Meanwhile all of our robots will be improved and enhanced with new functionalities. Stay tuned!
I encountered very interesting problem while using driver for servo of my robot chasis. As TensorFlow requires python 3.7 I had to rewrite our steering robot program to use python3.7. It seemed to be easy as peace of cake, but then to my surprise I discovered that motor doesn’t work at all in python3.7 andWięcej oBaltic Robbo Battles – RaspberryPI – servo driver PCA9685 on python3[…]
Smart home – pierwsza krew Artykuł autorstwa mojego męża: Są takie dni w życiu każdego mężczyzny, kiedy mówi sobie – „kurwa nie chce mi się tego robić”. Takie też i było moje podejście do tego projektu, więc od chwili gdy pojawił się koncept, do chwili wdrożenia go (jak na razie jako tako) w życie minęłoWięcej oSmart Home – automatyczne otwieranie okien[…]
This time approach is different – to use ready-to use model on RaspberryPI and try to detect objects. I followed this tutorial: https://pylessons.com/YOLOv3-TF2-RaspberryPi/ and this tutorial was also helpful during installation of TensorFlow on RaspberryPI: https://qengineering.eu/install-tensorflow-2.2.0-on-raspberry-pi-4.html and here are my steps: install required components on RaspberryPI – Python 3.7.1 ,Tensorflow 2.2.0, Keras,OpenCV: When I hadWięcej oBaltic Robbo Battles 2021 – object detection and classification – next round[…]