Is 100 epochs too much?

Could you elaborate on your concern regarding 100 epochs being considered excessive? Are you asking in the context of machine learning, specifically neural network training, where epochs represent the number of times the algorithm sees the entire training dataset? Or is this related to a different field where the term "epochs" holds a different meaning? Understanding the context would help me provide a more accurate response. If it's related to machine learning, it's essential to consider factors such as the complexity of the model, the size of the dataset, and the desired performance to determine if 100 epochs are indeed too much.