Book

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 byPackt Logo

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.

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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