Seq2seq models are advantageous for their ability to process text inputs without a constrained length. This tutorial covers encoder-decoder sequence-to-sequence models (seq2seq) in-depth and implements a seq2seq model for text summarization using Keras.
For a more detailed breakdown of the code, check out the following two articles on the Paperspace blog:
