🔒 CNN Classification

[charred scaffold]

I'm working on a predictive maintenance project focused on fault diagnosis in bearings. I have 120 CSV files (60 for damaged and 60 for Healthy bearing). The approach involves converting vibration signals into 20×20 grayscale images (raw, envelope, FFT) and training a CNN for classification. My original code contained too many errors, so, I turned to ChatGPT to correct it, however, I don't fully trust it. Still, I have to say I got very good results in my first run. Would you look at the code and tell me if it's correct? What would you change in the Hyperparameters? Any suggestions?
Please let me know if you need any further clarification.
Thanks.

[main shale]

@charred scaffold

Python help channel opened

Remember to:

• Ask your Python question, not if you can ask or if there's an expert who can help.
• Show a code sample as text (rather than a screenshot) and the error message, if you've got one.
• Explain what you expect to happen and what actually happens.

:warning: Do not pip install anything that isn't related to your question, especially if asked to over DMs.

Closes after a period of inactivity, or when you send !close.

[main shale]

Please react with ✅ to upload your file(s) to our paste bin, which is more accessible for some users.

[main shale]

@charred scaffold

Python help channel closed for inactivity

This help channel has been closed. Feel free to create a new post in #1035199133436354600. To maximize your chances of getting a response, check out this guide on asking good questions.