Build a Generative AI Model
Build and train autoencoders and progress to GANs through the Globomantics business use case.
Throughout this course, we work with package telemetry data for the fictional company Globomantics. The core problem: the company has lots of unlabeled transport data, but very few labeled examples of damaged packages. The goal is to learn useful representations without labels, then generate realistic synthetic data.
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What's inside
5 sections- 1 Table of Contents
- 2 Business Use Case: Globomantics
- 3 Module 1 — Building and Training Autoencoders
- 4 Module 2 — From Autoencoders to GANs
- 5 Appendix — Installation Commands
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