Few-Shot Learning with Reptile - Keras Code Examples
Skills:
LLM Engineering80%
This video walks through an implementation of Reptile in Keras using the Omniglot dataset. I was really inspired by this example, I think the Omniglot challenge of dynamically being able to recombine characters to form new alphabets is an incredibly interesting problem, connecting Human and Artificial Intelligence. I hope you found this example interesting as well, please check out the rest of the Keras Code Example playlist!
Content Links:
Few-shot learning with reptile: https://keras.io/examples/vision/reptile/
On First-Order Meta Learning: https://arxiv.org/pdf/1803.02999.pdf
MAML: https://arxiv.org/pdf/1703.03400.pdf
Generative Teaching Networks: https://arxiv.org/pdf/1912.07768.pdf
Teaching with Commentaries: https://arxiv.org/pdf/2011.03037.pdf
Meta Pseudo Labels: https://arxiv.org/pdf/2003.10580.pdf
Reptile Chapters
0:00 Beginning
0:44 Reptile Motivation
5:05 Hyperparameters of Meta-Training
5:48 DataLoader
12:04 Visualizing Omniglot Samples
13:50 The Model
14:48 The Training Loop
19:52 Results
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Chapters (8)
Beginning
0:44
Reptile Motivation
5:05
Hyperparameters of Meta-Training
5:48
DataLoader
12:04
Visualizing Omniglot Samples
13:50
The Model
14:48
The Training Loop
19:52
Results
🎓
Tutor Explanation
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