Deep Learning with PyTorch : Siamese Network

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Deep Learning with PyTorch : Siamese Network

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Implements a Siamese Network using PyTorch with the Triplet loss function for feature embeddings

Original Description

In this 2-hour long guided-project course, you will learn how to implement a Siamese Network, you will train the network with the Triplet loss function. You will create Anchor, Positive and Negative image dataset, which will be the inputs of triplet loss function, through which the network will learn feature embeddings. Siamese Network have plethora of applications such as face recognition, signature checking, person re-identification, etc. In this project, you will train a simple Siamese Network for person re-identification.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

The Python Dictionary Trick That Makes Interviewers Smile
Learn the Python dictionary trick that impresses interviewers and improves your coding skills
Dev.to · Ameer Abdullah
I Compared 50 Python Courses. Here Are My Top 5 Recommendations for 2026
Discover the top 5 Python courses for 2026, curated from a comparison of 50 courses, to enhance your programming skills and career prospects
Medium · Python
Machine learning for beginners #5
Learn the basics of machine learning through the analysis of self-driving cars and understand how ML is applied in real-world scenarios
Medium · AI
Beyond the Elephant: On Manifolds, Projections, and the Hidden Assumptions of Neural Geometry
Learn how neural geometry relies on manifolds, projections, and hidden assumptions to understand complex data, and why it matters for AI development
Medium · AI
Up next
Is Python Dead in 2026?| Truth About Python in AI Era | 90 Days Roadmap @FameWorldEducationalHub
FAME WORLD EDUCATIONAL HUB
Watch →