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Preface
Chapter 1. Introduction to Meta Learning
Chapter 2. Face and Audio Recognition using Siamese Network
Chapter 3. Prototypical Network and Their Variants
Chapter 4. Building Matching and Relation Network using Tensorflow
Chapter 5. Memory- Augmented Neural Networks
Chapter 6. MAML and Its Variants
Chapter 7. Meta-SGD and Reptile
Chapter 8. Gradient Agreement as an Optimization Objective
Chapter 9. Recent Advancements and Next Steps
Assessments
Other Books You May Enjoy
Index
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