The answer
No. Performance depends on the data and task. Simpler models can outperform deep networks, particularly when structured data is limited or the problem has simple relationships.
What is the difference between machine learning and deep learning?
Is deep learning always more accurate than other methods?
More FAQs in What is the difference between machine learning and deep learning?
Neural networks can have different depths. Deep learning generally refers to networks with multiple learned layers, although there is no single universally applied minimum depth.
It can, especially when adapting a pretrained model. However, limited task-specific data can still cause overfitting, so careful evaluation and simpler baselines remain useful.
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