WBJECA 2025 — Computer PYQ
WBJECA | Computer | 2025What is the key benefit of using deep learning for tasks like recognizing images?
Choose the correct answer:
- A.
They need less training data than other methods.
- B.
They're easier to explain and understand than other models.
- C.
They can learn complex details from the data on their own.
(Correct Answer) - D.
They work faster and are more efficient computationally.
They can learn complex details from the data on their own.
Explanation
Explanation: The defining strength of deep learning is automated feature extraction. In traditional machine learning, human experts must manually define and extract features (like edges, textures, or shapes) from an image. Deep learning models, particularly multi-layered neural networks, automatically learn hierarchical representations of features from raw data.
Explanation
Explanation: The defining strength of deep learning is automated feature extraction. In traditional machine learning, human experts must manually define and extract features (like edges, textures, or shapes) from an image. Deep learning models, particularly multi-layered neural networks, automatically learn hierarchical representations of features from raw data.