What are the hardware requirements for Deep Learning compared to conventional Machine Learning algorithms, and why is there a difference?
- Less for Deep Learning due to simpler models
- More for Deep Learning due to more complex models and parallel processing
- More for Machine Learning due to more data requirements
- Similar, as they both require the same computational resources
Deep Learning typically requires more hardware resources, such as GPUs, due to the complexity of the models and the need for parallel processing.
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