Question

what is a characteristics of deep learning that traditional machine learning does not have?
a.it uses decision trees for classification
b.it relies specially on neural networks
c. it only uses small datasets
d. it is exclusively used for image recognition

Answer 1

Correct answer: b. It relies specially (specifically) on neural networks.

Explanation: Deep learning uses deep (multi-layer) neural networks as its core models. The other choices are false: decision trees are not a defining feature (a), deep learning typically needs large datasets rather than only small ones (c), and it is not exclusive to image recognition — it’s used in speech, text, time series, reinforcement learning, etc. (d).