Hands-On Meta Learning with Python

More Information
Learn
  • Understand the basics of meta learning methods, algorithms, and types
  • Build voice and face recognition models using a siamese network
  • Learn the prototypical network along with its variants
  • Build relation networks and matching networks from scratch
  • Implement MAML and Reptile algorithms from scratch in Python
  • Work through imitation learning and adversarial meta learning
  • Explore task agnostic meta learning and deep meta learning
About

Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster.

Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning.

By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models.

Features
  • Understand the foundations of meta learning algorithms
  • Explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow
  • Master state of the art meta learning algorithms like MAML, reptile, meta SGD
Page Count 226
Course Length 6 hours 46 minutes
ISBN 9781789534207
Date Of Publication 31 Dec 2018

Authors

Sudharsan Ravichandiran

Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelors in information technology at Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning, which includes natural language processing and computer vision. He used to be a freelance web developer and designer and has designed award-winning websites. He is an open source contributor and loves answering questions on Stack Overflow.