Refer to the videos below to help you get started with Dragonfly's Deep Learning tool, which lets you advance your image processing results to new levels.
This video provides the background details for a better understanding of Dragonfly's Deep Learning Tool and how to train deep models for denoising, image segmentation, and super-resolution. Topics include the comparison of image processing to linear regression, fitting and applying functions, perceptron and neural networks as functions, as well as model training and optimization.
References and data examples:
Go to Grant Sanderson's YouTube Channel, 3Brown1Blue, for a deeper explanation on neural networks and how they are trained.
Pharmaceutical tablets example from Ma et al. 2020.
Rat neurons example from Eustaquio et al. 2018.
This video introduces denoising with Dragonfly's Deep Learning Tool and includes the following topics:
This video introduces image segmentation with Dragonfly's Deep Learning Tool and includes the following topics:
This video introduces super resolution with Deep Learning and includes the following topics:
Wang et al. Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images.
Izadi et al. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? (arXiv.org, June 21, 2018).
This video discusses advanced topics in Deep Learning and includes the following: