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Home > Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch


Book Informaton

Hands-On One-shot Learning with Python: Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

Author

Shruti Jadon, Ankush Garg

Year of Publication

2020

Publisher

Packt Publishing

Pages

156

Language

en

ISBN

1838825460, 9781838825461

ARI Id

1673077468467


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Showing 1 to 20 of 91 entries
Chapters/HeadingsAuthor(s)PagesInfo
About Packt
Section 1: One-shot Learning Introduction
Chapter 1: Introduction to One-shot Learning
Technical requirements
The human brain – overview
How the human brain learns
Comparing human neurons and artificial neurons
Machine learning – historical overview
Challenges in machine learning and deep learning
One-shot learning – overview
Prerequisites of one-shot learning
Types of one-shot learning
Setting up your environment
Coding exercise
kNN – basic one-shot learning
Summary
Questions
Section 2: Deep Learning Architectures
Chapter 2: Metrics-Based Methods
Parametric methods – an overview
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 91 entries