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This is the first article of a series of articles related to 3D machine learning as I am very interested in the topic. It deals with the basics of 3D data representations, a very important topic on which all the 3D machine learning algorithms depend.
Hello everyone! Today I would like to talk about the use of the training, validation and test sets in machine learning. This is a common but very important topic that is often explained at the beginning of any machine learning course. However mistakes are very common. In this article, I hope to provide a clear explanation on how to employ a dataset in order to train and evaluate a machine learning model.
Today I would like to share a recent talk presented at Eurographic 2020 on the topic of neural rendering. Neural rendering is a very recent field of computer graphics that aims at employing machine learning in order to generate photorealistic images. It is a very promising field of research that is evolving at a fast pace and in parallel with traditional computer graphics methods. I would recommend anyone who is interested in the latest research in computer vision and graphics to watch this talk!