How do training techniques differ between traditional Machine Learning and Deep Learning?
- Deep Learning relies on neural networks with multiple layers
- Deep Learning uses fewer hyperparameters
- Machine Learning requires more data
- Machine Learning uses more complex algorithms
Deep Learning uses neural networks with multiple layers and various training techniques like backpropagation, while traditional Machine Learning may use different algorithms and methods.
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