Back to Deep Learning with PyTorch : Siamese Network
Learner Reviews & Feedback for Deep Learning with PyTorch : Siamese Network by Coursera Project Network
35 ratings
About the Course
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.
Top reviews
SB
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A very practical project discovering Siames Network.
SB
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Overall, it is good enough.
it will be better if there is accuracy calculation,
thank you!
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1 - 6 of 6 Reviews for Deep Learning with PyTorch : Siamese Network
By Noah R
•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.
By sob b
•Oct 17, 2022
Overall, it is good enough.
it will be better if there is accuracy calculation,
thank you!
By SABYR B
•Oct 29, 2022
A very practical project discovering Siames Network.
By Ankit K S
•Jan 1, 2023
Excellent
By 姜佩åœ
•Oct 28, 2023
好
By David L
•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.