Translations:Neural Networks/28/en

• Convolutional Neural Networks (CNNs) — designed for grid-structured data such as images, using local connectivity and weight sharing.
• Recurrent Neural Networks (RNNs) — designed for sequential data, with connections that form cycles to maintain hidden state.
• Transformers — attention-based architectures that have become dominant in natural language processing and increasingly in vision.
• Autoencoders — networks trained to reconstruct their input, used for dimensionality reduction and generative modelling.
• Generative adversarial networks (GANs) — pairs of networks (generator and discriminator) trained in competition to generate realistic data.