Deep learningIn machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The…View analysis →
Deep Learning Super SamplingDeep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available in a number of video…View analysis →
Recursive neural networkA recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction…View analysis →
Transformer (deep learning)In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data such as text, images, or…View analysis →
Graph neural networkGraph neural networks (GNNs) are artificial neural networks designed for tasks whose inputs are graphs.View analysis →
Residual neural networkA residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions with reference to the…View analysis →
