-
Implementing Self-Supervised Learning with BYOL
Implement the core logic of **Bootstrap Your Own Latent (BYOL)**. BYOL is a self-supervised learning method that learns image representations without using negative pairs. It consists of two...
-
Implementing a Siamese Network for Similarity Learning
Build and train a **Siamese network** on a dataset like MNIST. The network takes pairs of images as input and learns to determine if they belong to the same class (a positive pair) or different...
1