Vision Transformers - ViT
Visual transformers.
Posts
Transformer Architecture
Attention mechanism in Transformers.
Recurrent Neural Networks - RNN, LSTM, GRU
Vanilla RNN, Long Short-Term Memory, Gated Recurrent Unit.
Generative Adversarial Networks (GANs) and CycleGANs
Exploration of GANs and CycleGANs.
Metrics in Machine Learning and Computer Vision
Understanding essential metrics for evaluating machine learning models, particularly in computer vision.
FCN and U-Net
Image Segmentation Techniques: FCN and U-Net.
Understanding Transfer Learning
Concept of Transfer Learning and how it can be applied in various machine learning tasks.
EfficientNet - Compound Scaling
Explore the EfficientNet architecture and its innovative compound scaling.
ResNet - Residual Blocks
Dive into ResNet architecture and its innovative residual blocks.
Visual Geometry Group - VGG Architecture
VGG-16 and VGG-19.