A list of resources from past meetups
By Sophie Gibbs Coping with unbalanced classes is part of deep-learning life. But what if you have two classes - normal and anomalous? How do you factor in all the possibilities that the anomalous class could cover? With a focus on videos, this workshop gives an overview of how autoencoders can be used to tackle this issue.
Google Colab notebook: https://colab.research.google.com/drive/1jlAIEebQLOOAly6k7m4htG4NVktRqp9q
Slides: