딥러닝 면접 질문 모음 (Shlomo Kashani 책 레퍼런스)

https://arxiv.org/pdf/2201.00650.pdf

책의 목표

• 석사/박사를 막 졸업한 학생들이 취직을 할 때 보게되는 딥러닝 관련 기술면접 질문들 모음
  • 혼자 공부할 때도 굉장히 좋을 듯

목차

• 난이도: 어린이집
  • Logistic regression
    • 예시 - Sigmoid, Logit function & entropy
  • Probabilistic programming & Bayesian DL
    • 예시 - Expectation & variance, Bayes rule, Maximum Likelihood estimation
• 난이도: 고등학교
  • Information theory
    • 예시 - Shannon’s entropy, KL Divergence
  • Deep Learning: Calculus, Algorithmic differentitation
    • 예시 - Gradient descent & Backpropagation, Partial derivatives, Activation functions
• 난이도: 학부생
  • Deep Learning: NN Ensembles
    • 예시 - Bagging / Boosting / Stacking, Snapshot Ensembling, Multi-model Ensembling
  • Deep Learning: CNN feature extraction
    • 예시 - Fine-tuning CNNs, Neural Style transfer
  • Deep Learning
    • 예시 - Convolution and correlation, Training & hyperparameters, Optimization & loss
• Mock exam