Beste Grafikkarten GPUs: https://timdettmers.com/2019/04/03/which-gpu-for-deep-learning/
Machine Learning
Artificial Intelligence
Machine Learning Maschine Learning
Unterschiede Gehirn neuronales Netz https://www.golem.de/news/kuenstliche-intelligenz-wie-sich-deep-learning-vom-gehirn-unterscheidet-2202-162231-4.html
Einführung Videos (engl.): https://www.3blue1brown.com/neural-networks Einführung (Kostenloses Buch, engl.): http://neuralnetworksanddeeplearning.com/
Videos online erstellen kostenlos: https://pikalabsai.org/
GPT-3 : Nicht mehr frei seit 3 (am besten Trainiertes Netz, frei wäre angebl. zu gefährlich)
Frei:
Crash course Google : https://developers.google.com/machine-learning/crash-course/
Machine Learning
Software Links: http://deeplearning.net/software_links/
Object tracking in video with OpenCV and Deep Learning 1)
Pattern: https://developer.ibm.com/patterns/detect-track-and-count-cars-in-a-video/
You only look once
Quelle2)
You Only Look Once - this object detection algorithm is currently the state of the art, outperforming R-CNN and it's variants. I'll go into some different object detection algorithm improvements over the years, then dive into YOLO theory and a programmatic implementation using Tensorflow!
Code for this video: https://github.com/llSourcell/YOLO_Object_Detection
More learning resources: https://pjreddie.com/darknet/yolo/
https://timebutt.github.io/static/how-to-train-yolov2-to-detect-custom-objects/
http://machinethink.net/blog/object-detection-with-yolo/
https://github.com/pjreddie/darknet/wiki/YOLO:-Real-Time-Object-Detection
https://github.com/KleinYuan/easy-yolo
https://medium.com/@xslittlegrass/almost-real-time-vehicle-detection-using-yolo-da0f016b43de