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Lecture 3: Swin Transformer from Scratch in PyTorch - Residual Connection, Layer Norm, and MLP.
Layer Normalization - EXPLAINED (in Transformer Neural Networks)
Lecture 2: Swin Transformer from Scratch in PyTorch - Stage Modules Details
Lecture 4: Swin Transformer from Scratch in PyTorch - Window Attention & Cyclic Shift
Lecture 1: Swin Transformer from Scratch in PyTorch - Hierarchic Structure and Shifted Windows Ideas
Let's build GPT: from scratch, in code, spelled out.
ResNet (actually) explained in under 10 minutes
Lecture 6: Swin Transformer from Scratch in PyTorch - Absolute Positional Embedding
Vision Transformer Quick Guide - Theory and Code in (almost) 15 min
UNETR Implementation for 2D Segmentation in PyTorch | UNTER = Vision Transformer + CNN Decoder
ViT (Vision Transformer) Implementation from Scratch with PyTorch!
Swin Transformer - Paper Explained
