Vision Transformers - ViT
Visual transformers.
Deep Learning
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.
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.