As a machine learning engineer, you are tasked with developing a model to identify different traffic signs from a large dataset of images. These images were extracted from dashboard camera videos and then cropped to each show one of ten specific traffic signs. Your dataset consists of 100,000 labeled images stored in a Cloud Storage bucket. Additionally, you need the ability to tune the model during each training run to ensure optimal performance. Given these requirements, how should you approach training the model?