Natural language processing is a set of tools that enables us to unlock the power of analyzing text. In this course, TensorFlow Developer Certificate – Natural Language Processing (NLP), you’ll learn how to apply NLP techniques and model them with Tensorflow. First, you’ll explore what word embeddings are and how to predict sentiment. Next, you’ll discover how to do text classification with those embeddings and classify intention out of text. Finally, you’ll learn how to generate text to create a suggestion model like the one in Gmail. When you’re finished with this course, you’ll have the skills and knowledge of NLP with Tensorflow needed to create all sorts of NLP solutions.
Author Name: Axel Sirota
Author Description:
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O’Reilly Media.

Table of Contents

• Course Overview
  1min
• Why Process Text?
  9mins
• Using Word Embeddings
  58mins
• Classifying Intention from Text
  23mins
• Helping Users with Text Generation
  38mins