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4 results for “features”
Convolutional Neural Network
A convolutional neural network (CNN) is a type of deep neural network that uses convolutional layers to automatically learn spatial hierarchies of features from grid-structured data, most commonly images.
Face Recognition
Face recognition is a biometric technology that identifies or verifies individuals by analysing facial features from images or video, widely used in security, banking, and immigration.
Feature Store
A centralised data platform for storing, serving, and managing machine learning features so that they can be reused consistently across training and online inference.
Sparse Autoencoder
A sparse autoencoder is a type of autoencoder trained with a sparsity constraint that forces most neurons in the hidden layer to be inactive for any given input, producing a disentangled, interpretable feature decomposition.