End-to-End Machine Learning for Experimental Physics: Using Simulated Data to Train a Neural Network for Object Detection in Video Microscopy

We demonstrate a method for training a convolutional neural network with simulated images for usage on real-world experimental data. Modern machine learning methods require large, robust training data sets to generate accurate predictions. Generating these large training sets requires a significant...

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Hauptverfasser:	Minor, Eric N, Howard, Stian D, Green, Adam A. S, Park, Cheol S, Clark, Noel A
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - Disordered Systems and Neural Networks Physics - Soft Condensed Matter
Online-Zugang:	Volltext bestellen
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