Stop 22 · Interview PreparationTechnical · 2/8
Deep Learning & Architectures
Part of the AI Engineer Roadmap
In short
Expect questions on how CNNs, RNNs and Transformers work, why attention replaced recurrence, and practical debugging of training issues (vanishing gradients, overfitting).
How to learn this
- 1Be able to explain backpropagation and attention from first principles, not just at a high level.
- 2Practice explaining why Transformers largely replaced RNNs for sequence tasks.
- 3Review common training failure modes and how you'd diagnose them.
More technical at this stop
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