Computer Science · Machine Learning vs Deep Learning
How does a Deep Learning model fundamentally perform its training process to optimize accuracy?
Verified Solution4 OptionsUpdated: October 2026👁️1 View
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- 1By relying solely on human operators to adjust every internal neural weight manually
- 2By automatically learning features and updating weights using feedback from errors via backpropagation✓
- 3By converting all non-linear optimization functions into static linear lookup tables
- 4By training strictly on small, unstructured tabular data without any feedback loops
Correct answer
By automatically learning features and updating weights using feedback from errors via backpropagation
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