Natural Language Processing with PyTorch
41mIntermediate2022-04-15
Authors
Zhongyu Pan
Content Creator at LinkedIn
Course details
Learn about natural language processing with PyTorch, the popular deep learning tool used by tech giants like OpenAI and Microsoft. In this course, Zhongyu Pan guides you through the basics of using PyTorch in natural language processing (NLP). She explains how to transform text into datasets that you can feed into deep learning models. Zhongyu walks you through a text classification project with two frequently used deep learning models for NLP: RNN and CNN. She also shows you how to tune hyperparameters and construct model layers to get more robust and accurate results, as well as the differences between the two models for NLP tasks.
Skills covered
PyTorchNatural Language Processing (NLP)Artificial Intelligence (AI)One-Off
Concepts
0. Introduction
- 01 - Natural language processing
- 02 - What you should know
1. NLP with Deep Learning Introduction
- 03 - Popular topics in NLP
- 04 - Introducing deep learning
2. PyTorch Basics
- 05 - Why PyTorch
- 06 - PyTorch tensor
3. Guided Project - CNN Text Classification with PyTorch
- 07 - Preprocessing text dataset
- 08 - Building a simple CNN model
- 09 - Train and evaluate functions
- 10 - Challenge - Training process
- 11 - Solution - Training process
Conclusion
- 12 - Keep learning and connect