Computer Science · Machine Learning vs Deep Learning
Which of the following processes is typically required when training a traditional Machine Learning (ML) model, distinguishing it from Deep Learning?
- 1Self-directed extraction of latent representations using convolutional layers
- 2Exclusive reliance on high-dimensional raw pixel inputs without preprocessing
- 3Automatic feature engineering through deep neural layers
- 4Manual selection and extraction of features from raw data✓
Correct answer
Manual selection and extraction of features from raw data
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