Lecture 8: Swin Transformer from Scratch in PyTorch - Relative Positional Embedding

Code: https://github.com/berniwal/swin-tran... ✅ Support the Channel Through PayPal: https://paypal.me/AIOpenCourseware

Lecture 9: Swin Transformer from Scratch in PyTorch - Cosine Similarity
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Lecture 9: Swin Transformer from Scratch in PyTorch - Cosine Similarity

Rotary Positional Embeddings: Combining Absolute and Relative
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Rotary Positional Embeddings: Combining Absolute and Relative

Relative Self-Attention Explained
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Relative Self-Attention Explained

Relative Position Bias (+ PyTorch Implementation)
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Relative Position Bias (+ PyTorch Implementation)

Lecture 5: Swin Transformer from Scratch in PyTorch - Masking
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Lecture 5: Swin Transformer from Scratch in PyTorch - Masking

Lecture 6: Swin Transformer from Scratch in PyTorch - Absolute Positional Embedding
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Lecture 6: Swin Transformer from Scratch in PyTorch - Absolute Positional Embedding

Attention in transformers, step-by-step | Deep Learning Chapter 6
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Attention in transformers, step-by-step | Deep Learning Chapter 6

Swin Transformer - Paper Explained
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Swin Transformer - Paper Explained

Lecture 7: Swin Transformer from Scratch in PyTorch - Finalizing Window Attention.
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Lecture 7: Swin Transformer from Scratch in PyTorch - Finalizing Window Attention.

Lecture 1: Swin Transformer from Scratch in PyTorch - Hierarchic Structure and Shifted Windows Ideas
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Lecture 1: Swin Transformer from Scratch in PyTorch - Hierarchic Structure and Shifted Windows Ideas

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

Analyzing Swin Transformer: A Code Walkthrough
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Analyzing Swin Transformer: A Code Walkthrough

I Predicted This War. Here Is Exactly What Happens Next - Professor Jiang
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I Predicted This War. Here Is Exactly What Happens Next - Professor Jiang

Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
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Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023

Visualizing transformers and attention | Talk for TNG Big Tech Day '24
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Visualizing transformers and attention | Talk for TNG Big Tech Day '24

The Insane Genius of a Formula 1 Gearbox
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The Insane Genius of a Formula 1 Gearbox

Lecture 10: Swin Transformer from Scratch in PyTorch - Code Overview
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Lecture 10: Swin Transformer from Scratch in PyTorch - Code Overview

Code Panoptic Image Segmentation w/ Vision Transformer & Mask2Former - A PyTorch tutorial
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Code Panoptic Image Segmentation w/ Vision Transformer & Mask2Former - A PyTorch tutorial

225 - Attention U-net. What is attention and why is it needed for U-Net?
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225 - Attention U-net. What is attention and why is it needed for U-Net?

RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs
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RoPE (Rotary positional embeddings) explained: The positional workhorse of modern LLMs