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⌨️ Section 5 - Model Theory
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Classroom Contents
Understanding Deep Learning Research - Theory, Code and Mathematical Foundations
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- 1 ⌨️ Introduction
- 2 ⌨️ Section 1 - How to read research paper?
- 3 ⌨️ Section 1 - Step 1 Get External Context
- 4 ⌨️ Section 1 - Step 2 First Casual Read
- 5 ⌨️ Section 1 - Step 3 Fill External Gap
- 6 ⌨️ Section 1 - Step 4 Conceptual Understanding
- 7 ⌨️ Section 1 - Step 5 Code Deep Dive
- 8 ⌨️ Section 1 - Step 6 Method and Result Slow Walk
- 9 ⌨️ Section 1 - Step 7 Weird Gap Identification
- 10 ⌨️ Section 2 - How to read Deep Learning Math?
- 11 ⌨️ Section 2 - Step 0 : relax
- 12 ⌨️ Section 2 - Step 1 : identify all formula shown or referred
- 13 ⌨️ Section 2 - Step 2 : take the formulas out of the digital world
- 14 ⌨️ Section 2 - Step 3 : work on them to translate symbols into meaning QHAdam
- 15 ⌨️ Section 2 - Step 4 : summarize the meanings into an intuition
- 16 ⌨️ Section 3 - How to learn math efficiently
- 17 ⌨️ Section 3 - Step 1 - Select the right math sub field
- 18 ⌨️ Section 3 - Step 2 - Find exercise-rich resource
- 19 ⌨️ Section 3 - Step 3 - green, yellow and red method
- 20 ⌨️ Section 3 - Step 4 - study the theory to fix yellow and red
- 21 ⌨️ Section 4 - How to read deep learning codebase?
- 22 ⌨️ Section 4 - Step 0 Read the paper
- 23 ⌨️ Section 4 - Step 1 Run the code
- 24 ⌨️ Section 4 - Step 2 Map the codebase structure
- 25 ⌨️ Section 4 - Step 3 Elucidate all the components
- 26 ⌨️ Section 4 - Step 4 Take notes of unclear elements
- 27 ⌨️ Section 5 - Segment Anything Model Deep Dive
- 28 ⌨️ Section 5 - Task
- 29 ⌨️ Section 5 - SAM Testing
- 30 ⌨️ Section 5 - Model Theory
- 31 ⌨️ Section 5 - Model Code Overview
- 32 ⌨️ Section 5 - Image Encoder Code
- 33 ⌨️ Section 5 - Prompt Encoder Code
- 34 ⌨️ Section 5 - Mask Decoder Code
- 35 ⌨️ Section 5 - Data & Engine
- 36 ⌨️ Section 5 - Zero-Shot Results
- 37 ⌨️ Section 5 - Limitation
- 38 ⌨️ Conclusion
