Spent 4 hours debugging an AI pipeline because of a single typo

I was building a small image classifier for pet photos using one of those newer frameworks. Everything looked fine in the setup but the accuracy kept sitting at 10% after training. Turned out I wrote 'ResNet' instead of 'ResNet50' in the config file and it defaulted to some half-baked pretrained weights. Took me an entire afternoon to trace it back to that one line. Has anyone else burned hours on something this stupid?

2 comments

2 Comments

wren21715h ago

Feel you on that one... spent three hours once because I wrote 'train' instead of 'train.' as a variable name and Python just kept overwriting the built-in.

jakeperry18h ago

That 10% accuracy hit hard for me too until I saw your post. I used to think typos in code were just no big deal, like a quick fix and move on. Then last month I spent six hours chasing a bug in my weather prediction model only to find out I wrote 'print(x)' instead of 'print(x.shape)' in the logging function. It completely changed how I approach debugging now I double check every single line in my config files first.