In this tutorial, you will learn how to perform anomaly and outlier detection using autoencoders, Keras, and TensorFlow.

Our approach worked well enough, but it begged the question:

Could deep learning be used to improve the accuracy of our anomaly detector?

To answer such a question would require us to dive further down the rabbit hole and answer questions such as:

• What model architecture should we use?
• Are some deep neural network architectures better than others for anomaly/outlier detection?
• How do we handle the class imbalance problem?
• What if we wanted to train an unsupervised anomaly detector?

This tutorial addresses all of these questions, and by the end of it, you’ll be able to perform anomaly detection in your own image datasets using deep learning.

To learn how to perform anomaly detection with Keras, TensorFlow, and Deep Learning, just keep reading!

#tensorflow #keras #deep learning