4.2. Question: Why is deep learning suitable for automatically learning features in

computer vision?

Deep learning algorithms are capable of generating random features for image

recognition.

O

Deep learning models, using convolutions, can directly extract features from raw pixel

values without any feature engineering.

Deep learning leverages the power of convolutional layers to reduce the dimensionality

of images.

O

Deep learning relies on pre-defined handcrafted features for accurate object detection.