About this document
Main Types of Neural Networks by Glenn Mallo is a document available to read on EtoBox.
The document discusses the main types of neural networks. It describes 5 types: perceptrons/feed forward networks, recurrent neural networks, auto-encoders, convolutional neural networks, and generative adversarial networks. Perceptrons/feed forward networks have linear connections between neurons. Recurrent neural networks also consider temporal dependencies in data. Auto-encoders learn to represent data in a reduced dimensional space. Convolutional neural networks use filters to extract patterns from data
- Author
- Glenn Mallo
- Language
- EN