Deep Learning with PyTorch : Siamese Network
By Coursera
on Coursera
· Data Science
About This 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.
Instructor
Parth Dhameliya
Frequently Asked Questions
How much does Deep Learning with PyTorch : Siamese Network cost?
Visit the Deep Learning with PyTorch : Siamese Network course page for current pricing and available discounts.
Who teaches Deep Learning with PyTorch : Siamese Network?
Deep Learning with PyTorch : Siamese Network is taught by Parth Dhameliya, Coursera.
What skill level is Deep Learning with PyTorch : Siamese Network for?
This course is designed for all levels learners.