Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

© Hisham El-Amir and Mahmoud Hamdy 2020

H. El-Amir, M. HamdyDeep Learning Pipelinehttps://doi.org/10.1007/978-1-4842-5349-6_14

14. Selected Topics in Natural Language Processing

Hisham El-Amir¹  and Mahmoud Hamdy¹

(1)

Jizah, Egypt

 

In the previous chapter, we showed you some advanced concepts in computer vision such as state-of-art architectures and the transfer learning approach. It is important for you to understand these concepts when you are about to build a model to do a certain task for you.

In this chapter, we will discuss some concepts in natural language processing (NLP) that are necessary to fully understand the sequential methods, which are considered to be the traditional methods of NLP. They are relied on by the bag-of-words model and the ...