Learn the fundamentals of linear regression by building a Simple Linear Regression model using PyTorch and Python in this 25-minute beginner-friendly tutorial. Explore data, create a model, convert data to Tensors, make predictions with an untrained model, implement training procedures, and analyze the results. Gain hands-on experience with PyTorch while developing practical machine learning skills applicable to real-world scenarios.
Build Your First Model with PyTorch and Python - PyTorch Tutorial for Beginners
Overview
Syllabus
- Intro
- Notebook setup
- Explore data
- Create your model
- Turn the data into Tensors
- Predictions from an untrained model
- Training
- Explore predictions
- Conclusion
Taught by
Venelin Valkov
