Hi, I am doing optical character recognition on my own dataset, consisting of around 17k images of 11 classes (0-9 as well as $). I can train the model no problem, only 2 epochs for now as loss goes down very quickly and it works perfectly immediately after training. The issue is that I try and save the model, then try and load the model, and it is like I never loaded it at all. The classifications are terrible and it barely gets 1 or 2 of the 16 images used for inference testing (completely random).
I’m sure I am doing something wrong, but I just can’t figure out what.
I’ve been following [this](https://keras.io/examples/vision/captcha_ocr/) guide from keras, and [this](https://github.com/BenSisk/CSGO-OCR) is my GitHub repo with my specific code.
submitted by /u/BoopJoop01
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