Learn to model the Wine dataset with PyTorch in this detailed course. Start by preprocessing the data for PyTorch, then construct and train a multi-class classification model. Explore model evaluation with various metrics and plots to identify strengths and improvements. The course concludes with methods to save and deploy your model, maximizing PyTorch's features for practical application.
Overview
Syllabus
- Lesson 1: Preprocessing the Wine Dataset for PyTorch
- Lesson 2: Building a Multi-Class Classification Model with PyTorch
- Lesson 3: Deep Model Evaluation with PyTorch
- Lesson 4: Saving and Loading PyTorch Models
