Final thesis Classification of defects with AI/Machine Learning (WS24/25)
room
TRUMPF
|
Ditzingen, Germany, Europe

Classification and explanation of defects with AI/Machine Learning, Improving the reliability of machine clustering with Random Forest, ANN, SVM or similar. Optimizing training and prediction performance with GPUs and cloud services (e.g. Azure ML or Google CoLab), Development with state-of-the-art tools: C# with NET 8.0 / Azure DevOps / Visual Studio 2022 or VS Code / Python with scikit-learn, Lime, Keras, or similar.

share
Share