A step by step explanation of Tensorflow implementation of neural machine translation(NMT) using Bahdanau’s Attention. In this article, you will learn how to implement sequence to sequence(seq2seq) To finish reading, please visit source site

A complete guide to learn translations between any language pairs

The embedding model’s validation accuracy ends at 0.8401. Model 3: Bidirectional RNNs

Firstly we will go about training the network. Then we will look at the inference models on how to translate a given English sentence to French. Inference model (used for predicting on the input sequence) has a slightly different decoder architecture and we will discuss that in detail when we come there.

The LSTM reads the data one sequence after the other. Thus if the input is a sequence of length ‘k’, we say that LSTM reads it in ‘k’ time steps (think of this as a for loop with ‘k’ iterations). Referring to the To finish reading, please visit source site