Variational Autoencoders (VAE): How AI Learns Whether Your Eyes Are Open Or Closed
Given a dataset of images of human eyes and no annotation, we can train a model that can classify images with as high accuracy as possible. If only we could annotate just a handful of samples and apply some techniques of semi-supervised learning to get high accuracy. This task is performed using Variational Autoencoders (VAE).
Researcher / Engineer with 10+ YoE in deep learning, computer vision, and autonomous driving
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