👉 Metis is a concept in machine learning that refers to a type of neural network architecture used for image classification tasks. It was introduced by Yann LeCun and Andrew Ng in 2012 as part of their work on deep learning. The Metis architecture consists of two main components: a convolutional layer followed by a fully connected layer, which is then connected to the output layer.
Metis has been used successfully for various image classification tasks, including object recognition, image segmentation,
metis