ChatGPT: A Beginner’s Guide to Computer Vision with PyTorch
and the code sections that do not work
The recent hype around ChatGPT made me curious, so like many others, I wanted to test it out.
Below you will see the whole process that went into creating, training, validating, and testing a convolutional neural network using PyTorch.
Further, I provide the full code here and all Screenshots of the Chat history here. You will notice by comments that not every output line is perfect. That is why I have included some manual corrections in the Jupyter Notebook.
Have fun reading this article and try ChatGPT out on your own.
Table of Contents:
- Introduction
- Creating the Network Architecture
- Creating the Data Pipeline
- Training the Network
- Critical Points from me
- Evaluating the Performance
- Model Saving
- Conclusion
- My Final Notes
Introduction:
At first, I wanted ChatGPT to create a simple CNN training pipeline using Pytorch. However, I found it so interesting that I wanted to create an…