Natural Language Processing with PyTorch
Natural Language Processing with PyTorch
.MP4, AVC, 1280x800, 30 fps | English, AAC, 2 Ch | 41m | 114 MB
Instructor: Zhongyu Pan
.MP4, AVC, 1280x800, 30 fps | English, AAC, 2 Ch | 41m | 114 MB
Instructor: Zhongyu Pan
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.
Natural Language Processing with PyTorch
