Why is deep learning often compared to a “super smartphone”
Because it can handle complex tasks and processes more data
Explanation:
Deep Learning is often compared to a “super smartphone” because it has the ability to process huge amounts of data, learn complex patterns, and perform advanced tasks such as image recognition, speech recognition, and natural language understanding.
Why not the others?
- a) Because it has fewer hidden layers → Incorrect; Deep Learning uses multiple hidden layers.
- b) Because it requires less computation power → Incorrect; Deep Learning usually requires more computational power.
- d) Because it doesn’t need feature engineering → Partly true, but it is not the main reason for the comparison. The key advantage is handling complex tasks and large-scale data.
