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Hands-On Meta Learning with Python

You're reading from  Hands-On Meta Learning with Python

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789534207
Pages 226 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Sudharsan Ravichandiran Sudharsan Ravichandiran
Profile icon Sudharsan Ravichandiran
LinkedIn
Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
See other products by Sudharsan Ravichandiran

Table of Contents (17) Chapters

Title Page
Dedication
About Packt
Contributors
Preface
1. Introduction to Meta Learning 2. Face and Audio Recognition Using Siamese Networks 3. Prototypical Networks and Their Variants 4. Relation and Matching Networks Using TensorFlow 5. Memory-Augmented Neural Networks 6. MAML and Its Variants 7. Meta-SGD and Reptile 8. Gradient Agreement as an Optimization Objective 9. Recent Advancements and Next Steps 1. Assessments 2. Other Books You May Enjoy Index

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Authors (1)

Profile icon Sudharsan Ravichandiran
LinkedIn
Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.
See other products by Sudharsan Ravichandiran

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