Hands-On Meta Learning with Python
This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
Offered by
Difficulty Level
Intermediate
Completion Time
7h32m
Language
English
About Book
Who Is This Book For?
Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.
Hands-On Meta Learning with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 7h32m total length
Introduction to Meta Learning
Face and Audio Recognition using Siamese Network
Prototypical Network and its variants
Building Matching and Relation Network using Tensorflow
Memory Augmented Networks
MAML and its variants
Meta-SGD and Reptile ALgorithm
Gradient Agreement as an Optimization Objective
Recent Advancements and Next Steps
Related Resources
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