TensorFlow Developer Certificate - Natural Language Processing (NLP)
This course will teach you all the NLP techniques in Tensorflow 2 needed to do amazing things like generate text or classify intention.
What you'll learn
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.
Table of contents
- How to Represent Words 4m
- First Embedding: One-hot Encoding 3m
- Demo: Analyzing Sentiment with OHE - Part 1 8m
- Demo: Analyzing Sentiment with OHE - Part 2 7m
- Demo: Analyzing Sentiment with OHE - Part 3 7m
- Demo: Analyzing Sentiment with OHE - Part 4 5m
- Reminder: Transfer Learning 2m
- Demo: Reanalyze Sentiment with GloVe - Part 1 7m
- Demo: Reanalyze Sentiment with GloVe - Part 2 6m
- Demo: Reanalyze Sentiment with GloVe - Part 3 7m
- Demo: Reanalyze Sentiment with GloVe - Part 4 2m
- Key Takeaways and Tips 1m
- What Comes Next? 0m
- What Problems Do We Face with Neural Networks in the Text? 3m
- Introducing RNN and LSTM 4m
- Demo: Training a Character-based Text Generation Model - Part 1 7m
- Demo: Training a Character-based Text Generation Model - Part 2 2m
- Demo: Training a Character-based Text Generation Model - Part 3 8m
- Demo: Training a Character-based Text Generation Model - Part 4 7m
- Demo: Training a Character-based Text Generation Model - Part 5 4m
- Key Takeaways and Tips 1m
- What Comes Next? 2m
About the author
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.