The conversation between human and AI assistant.
What is the difference between multi perceptron neural networks and deep models?
That's interesting. Are there any downsides to using deep models instead of multi perceptron neural networks?
Deep models can be more computationally expensive and require more data to train effectively. Additionally, because of their complexity, they can be more difficult to interpret and understand how they arrive at their predictions.