Attention/Memory in Deep Learning
Goal Attention mechanisms in neural networks are a quite new phenomena and we are going to provide some background on them here. Motivation Generally speaking attention mechanisms allow the network to focus only on a certain subset of the data provided for a given task. Being able to distinguish between the necessary information at a specific step of a task further reduces the amount of information that has to be processed. Ingredients recurrent neural networks, convolutional neural networks, encoder, decoder, embedding, weights, memory, reinforcement learning Steps The idea behind attention mechanisms is certainly motivated by observing the visual attention of humans. Despite processing the visual input all at the same time, humans rather pay attention to small regions one after […]