Neural Network

Intermediate

A parameterized function composed of interconnected units organized in layers with nonlinear activations.

Full Definition

A parameterized function composed of interconnected units organized in layers with nonlinear activations.

Keywords

layers nonlinear function

Domains

Neural Networks

Related Terms

Deep Learning broader than

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

 Convolutional Neural Network narrower than

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

 Recurrent Neural Network narrower than

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

 Transformer narrower than

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

 Autoencoder narrower than

Model that compresses input into latent space and reconstructs it.

 Graph Neural Network narrower than

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

 Convolutional Neural Network related to

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

 Recurrent Neural Network related to

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

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