Book Content
chapters • 5h12m total length
1. Introduction to One-shot Learning
2. Metrics-Based Methods
3. Models-Based Methods
4. Optimization-Based Methods
5. Generative Modeling-Based Methods
6. Conclusion and Other Approaches
Book
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 approx.
Language
English
Certification
Not available
About Course
On this page
Ready to Train Your Team?
Need training for your whole team? Get bulk pricing, LMS integration, and dedicated support.
Trusted by Leading Organizations Worldwide
Join thousands of companies that trust Calibr to power their learning and development initiatives.
Request Access For Your Organization
Start training your team in minutes!