An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data. An autoencoder learns two functions: an encoding function that transforms the input data, and…
Comet ML is an experimentation platform, which permits testing Machine Learning projects, from the beginning up to the final monitoring. In this post, we would go through some examples to use comet.
YOLOv4 is a one-stage object detection model that improves on YOLOv3 with several bags of tricks and modules introduced in the literature. The components section below details the tricks and modules…
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