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Deep Learning with PyTorch : Siamese Network

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.

Status: Applied Machine Learning
Status: Computer Vision
AdvancedGuided Project2 hours

Featured reviews

SB

5.0Reviewed Oct 30, 2022

A​ very practical project discovering Siames Network.

DL

4.0Reviewed Aug 31, 2022

I cannot unenroll this project. Is this normal or will I be charged? I just wanted to explore this and one another guided project.

SB

5.0Reviewed Oct 17, 2022

Overall, it is good enough.i​t will be better if there is accuracy calculation, thank you!

NR

5.0Reviewed Sep 23, 2024

The course is very short, but uses the time well. It develops practical skills, so if you are looking to learn the theory you may be better served elsewhere.

All reviews

Showing: 8 of 8

Noah Rivkin
5.0
Reviewed Sep 23, 2024
sob birin
5.0
Reviewed Oct 17, 2022
SABYR BAZARYMBETOV
5.0
Reviewed Oct 30, 2022
Libero Prentzas
5.0
Reviewed Sep 8, 2025
Ankit Kumar Shukla
5.0
Reviewed Jan 1, 2023
Kevin Yesid Holguin Zuluaga
5.0
Reviewed Apr 6, 2025
姜佩孜
5.0
Reviewed Oct 29, 2023
David Learn
4.0
Reviewed Sep 1, 2022