What is the primary requirement for deep learning to perform well?
A high level of computation power
Explanation:
Deep Learning models use large neural networks with many layers and require significant computational resources to process large amounts of data and learn complex patterns. Powerful GPUs and advanced hardware are often used to train deep learning models efficiently.
Why not the others?
- a) A small amount of data → Incorrect; Deep Learning usually requires large amounts of data.
- b) Extensive feature engineering → Incorrect; Deep Learning automatically learns features from data, reducing the need for manual feature engineering.
- d) Few hidden layers → Incorrect; Deep Learning relies on multiple hidden layers to learn complex patterns.
