Machine Learning: July 2025 B
Unit 8: Introduction to Artificial Neural Networks
Unit Notes
The objectives of this unit were to review the concepts of error-handling and backpropagation in artificial neural networks (ANNs), as well as to review the application of ANNs to real world scenarios.
My takeaway was a better understanding of how to manage errors and the best practices for developing error handling code in Python-based ANNs.
I also started a collaborative discussion in the student forum on the subject of written material produced by ANNs, and the legal risks associated with developing generative writing ANNs from copyrighted training material.