Convolutional Neural Network. A type of neural network specifically designed for processing grid-like data such as images. Uses filters that slide across the input to detect features like edges, textures, and shapes. Dominated computer vision before Vision Transformers (ViT) appeared.
The field of AI focused on enabling machines to interpret and understand visual information from images and video.
The task of assigning a label to an image from a set of predefined categories.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
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