Building a Results Pack: Curves, Reconstructions and Samples скачать в хорошем качестве

Building a Results Pack: Curves, Reconstructions and Samples

n this video we convert a completed training run into a clear Results Pack. You will learn how to present the evidence that demonstrates whether a generative model is actually learning. We examine three key components: loss curves, reconstruction grids, and generated samples. Together, these elements provide both numerical and visual evidence of model behaviour. The video also explains how to interpret these results using structured observations and how to avoid common mistakes when analysing generative models. By the end of this section you should be able to assemble a compact evidence bundle that includes curves, reconstructions, samples, and a short interpretation grounded in the observed results. This Results Pack forms the foundation for Checkpoint 3 (Training) and prepares you for presenting your findings in the final mini-project. GenAISA project funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.