What are the types of neural networks?

There are several types of neural networks, each designed to solve different types of problems. Feedforward neural networks are the most basic type and consist of input, hidden, and output layers. They are used for pattern recognition and regression tasks. Recurrent neural networks are designed to process sequential data and have internal memory, allowing them to retain information about past inputs. Convolutional neural networks are widely used for image and video processing tasks due to their ability to recognize spatial patterns. Generative neural networks, such as generative adversarial networks and variational autoencoders, are used for generating new data samples. Finally, self-organizing maps are neural networks that cluster and visualize high-dimensional data. Overall, the diversity of neural network types enables the development of more specialized and powerful solutions for various application domains.

This mind map was published on 22 August 2023 and has been viewed 111 times.