Neural Network

A branch of ML using multi-layer neural networks to learn hierarchical representations, often excelling in vision, sp...

Networks using convolution operations with weight sharing and locality, effective for images and signals.

Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.

Architecture based on self-attention and feedforward layers; foundation of modern LLMs and many multimodal models.

Model that compresses input into latent space and reconstructs it.

Neural networks that operate on graph-structured data by propagating information along edges.

Networks using convolution operations with weight sharing and locality, effective for images and signals.

Networks with recurrent connections for sequences; largely supplanted by Transformers for many tasks.