Hands-On One-shot Learning with Python
This book is a step by step guide to one-shot learning using Python-based libraries. It is designed to help you understand and design models that can learn information about your data from one, or only a few, training examples. You will also learn to apply these techniques with real-world examples and datasets for classification and regression.
Offered by
Difficulty Level
Intermediate
Completion Time
5h12m
Language
English
About Book
Who Is This Book For?
If you're an AI researcher or a machine learning or deep learning expert looking to explore one-shot learning, this book is for you. It will help you get started with implementing various one-shot techniques to train models faster. Some Python programming experience is necessary to understand the concepts covered in this book.
Hands-On One-shot Learning with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 5h12m total length
Introduction to One-shot Learning
Metrics-Based Methods
Models-Based Methods
Optimization-Based Methods
Generative Modeling-Based Methods
Conclusion and Other Approaches
Related Resources
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