AI researcher Bishmer Sekaran demonstrates how Julia is:
- easy
- fast
- powerful
when performing sophisticated Computer Vision image classification tasks using the SSDMNV2 masked/unmasked image dataset.
A whirlwind tour of the concepts behind Convolutional Neural Networks in Deep Learning, their implementation in Flux.ml, and some significant real-world applications to benefit public health.
All code will be made available on Codeberg (or GitHub if the organizers prefer) under the same free MIT license which Julia itself is distributed under.