Overview
Learn how to implement neural classification using word embeddings in a comprehensive PyTorch tutorial that covers essential concepts and practical implementation techniques. Explore the fundamentals of word embeddings and their application in neural networks for classification tasks through hands-on demonstrations and detailed explanations. Follow along with provided slides to understand the step-by-step process of building and training neural classifiers, making this technical tutorial particularly valuable for data scientists and machine learning practitioners interested in natural language processing applications.
Syllabus
Neural classification with word embeddings; Pytorch tutorial
Taught by
UofU Data Science