Seq2seq: Encoder-Decoder Sequence to Sequence Model Explanation

In Deep learning, we all know that Recurrent Neuron Network solves time series data. Sequence to Sequence (or Seq2Seq for short) is a kind of model that was born to solve "Many to many" problem. Seq2Seq has many applications,perhaps the most common one is Machine Translation. In this article, we will explore its architecture and how to apply it with code.Before starting , if you haven't been familiar with LSTM and GRU , please read these posts.

Architecture and mechanism

Our model's input and ou...