Created a Siamese Network and implemented Triplet Loss function using Python and Keras. It involved training the network with the Triplet Loss function to produce Embeddings of different classes from MNIST dataset, and used data generator to prepare the data for training.
-
Notifications
You must be signed in to change notification settings - Fork 0
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
shahab-ghafoor/Siamese-Network-with-Triplet-Loss-in-Keras
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published