Treffer: Hands-On Meta Learning with Python

e 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.

What you will learn

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

Who this book is 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.Sudharsan Ravichandiran is a data scientist, researcher, artificial intelligence enthusiast, and YouTuber (search for Sudharsan reinforcement learning). He completed his bachelor's 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 is an open source contributor and loves answering questions on Stack Overflow. He also autho