Dog Breed Classifier built using Tensorflow.
Models built using convolutional neural networks, trained on a dataset of images of dog breeds.
Transfer learning using existing image classification models.
I had to make adjustments to account for the limited processing power I have access to. I am working on a 5 year old laptop and I have access to the basic GPU available through Google Colab. This limits how long I can train, and with how many images. Notably, I had to limit the dataset to 20-40 dog breeds, instead of the 120 found in the original dataset.
Link temporarily removed while I work on fixing broken code
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