Explaining RNNs without neural networks

0

Explaining RNNs without neural networks

Explaining RNNs without neural networks

This article explains how recurrent neural networks (RNN’s) work without using the neural network metaphor. It uses a visually-focused data-transformation perspective to show how RNNs encode variable-length input vectors as fixed-length embeddings. Included are PyTorch implementation notebooks that use just linear algebra and the autograd feature.

Source: explained.ai/rnn/index.html

July 17, 2020
0 Comments
Inline Feedbacks
View all comments

Subscribe to our Digest