Editing Neural Network (section)

== Types of Neural Networks ==

=== Feedforward Neural Networks (FNN) ===
The simplest type, where information moves in one direction from input to output.

=== Convolutional Neural Networks (CNN) ===
Used primarily for image and video recognition. They apply filters to detect spatial hierarchies in visual data.

* See also: [[Deep Learning]]

=== Recurrent Neural Networks (RNN) ===
Designed to handle sequential data by maintaining internal memory. Useful in time series and language processing tasks.

=== Long Short-Term Memory (LSTM) ===
A type of RNN capable of learning long-term dependencies. Common in [[Natural Language Processing]].

=== Generative Adversarial Networks (GANs) ===
Consist of two networks (generator and discriminator) trained in opposition to generate realistic data.

=== Transformers ===
State-of-the-art architecture for sequence modeling, using self-attention rather than recurrence.