A Deep learning model is generally more computationally complex than a traditional machine learning model. They require large amounts of training data, convolutional neural networks, and have high processing-power requirements. DL models can take longer to train, especially on less powerful hardware. On the other hand, traditional ML models can work with small datasets and be faster to train, even on low-end machines.