Connectionism
Connectionism is an approach in cognitive science and artificial intelligence that explains mental phenomena as the collective behavior of large networks of simple, interconnected processing units.
Neural Networks
Explore Neural Networks through related topics and the articles other pages reference most.
Explore articles
Browse subtopics: Artificial Intelligence
Articles that also belong to these categories. Counts cover all of Neural Networks.
All articles (116)Deep Learning (81)Machine Learning (58)Computer Vision (17)Model Architecture (15)Interpretability (6)AI History (5)Artificial Intelligence (4)Generative AI (4)Natural Language Processing (4)Transformer Models (4)AI Hardware (3)AI Research (3)Mathematics (3)Google DeepMind (2)Information Retrieval (2)Open Source AI (2)People (2)AI Ethics (1)AI Infrastructure (1)AI for Science (1)Developer Tools (1)Google (1)Large Language Models (1)MLOps (1)Model Evaluation (1)Programming Languages (1)Statistics (1)Training & Optimization (1)
Showing 1-4 of 4 articles
Deep Learning
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn representations of data at multiple levels of abstraction
GELU (Gaussian Error Linear Unit)
The Gaussian Error Linear Unit (GELU) is a smooth, non-monotonic activation function defined as GELU(x) = x · Φ(x), where Φ(x) is the cumulative distribution function of the standard normal distribution.
LeNet
LeNet is the pioneering family of convolutional neural networks developed by Yann LeCun and collaborators at AT&T Bell Labs between roughly 1988 and 1998 to read handwritten characters