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You are developing a model to identify traffic signs in images extracted from videos captured from the dashboard of a vehicle. You have a dataset of 100,000 images that were cropped to display one out of ten different traffic signs. These images have been labeled accordingly for model training and are stored in a Cloud Storage bucket. You need to be able to adjust the model during each training run. How should you train the model?