Few Shot Learning - EXPLAINED!
Channel: CodeEmporium
Date: 2021-02-01

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b

TIMESTAMPS
0:00 Case Study
1:37 Prior Knowledge
3:07 Disadvantage of Traditional Models
4:57 The new Model – explained
6:40 Math
9:04 Code

REFERENCES
[1] Approaches to Few Shot Learning: https://research.aimultiple.com/few-shot-learning/
[2] Blog on Meta Learning & Few Shot Learning (Borealis AI): https://www.borealisai.com/en/blog/tutorial-2-few-shot-learning-and-meta-learning-i/
[2] A Survey of Few Shot Learning (Section 2.4 explains the approaches pretty well in plain english): https://arxiv.org/pdf/1904.05046.pdf
[2] This paper on knowledge distillation has some points on few shot learning: https://arxiv.org/pdf/2004.05937.pdf
[] Code : https://towardsdatascience.com/one-shot-learning-with-siamese-networks-using-keras-17f34e75bb3d