One-to-one is a simple neural network. It is commonly used for machine learning problems that have a single input and output. One-to-many has a single input and multiple outputs. This is used for generating image captions. Many-to-one takes a sequence of multiple inputs and predicts a single output. It is popular in sentiment classification, where the input is text and the output is a category. Many-to-many takes multiple inputs and outputs. The most common application is machine translation.
Types of Recurrent Neural Networks
Glasp is a social web highlighter that people can highlight and organize quotes and thoughts from the web, and access other like-minded people’s learning.