Summary

This chapter walked you through building a fairly sophisticated neural network model using the sequence-to-sequence model implemented with the TensorFlow library.

First, you went through the theoretical part, gain an understanding of how the model works under the hood and why its application has resulted in remarkable achievements. In addition, you learned how an LSTM network works and why it is easily considered the best RNN model. 

Second, you saw how you can put the knowledge acquired here into practice using just several lines of code. In addition, you gain an understanding of how to prepare your data to fit the sequence-to-sequence model. Finally, you were able to successfully translate Spanish sentences into English. 

I really hope this chapter left you more confident in your deep learning knowledge and armed you with new skills that you can apply to future...