Hands-On Meta Learning with Python

Table of Contents

1. Introduction to Meta Learning
2. Face and Audio Recognition using Siamese Network
3. Prototypical Network and its variants
4. Building Matching and Relation Network using Tensorflow
5. Memory Augmented Networks
6. MAML and its variants
7. Meta-SGD and Reptile ALgorithm
8. Gradient Agreement as an Optimization Objective
9. Recent Advancements and Next Steps