Overview
Syllabus
⌨️ Introduction
⌨️ Section 1 - How to read research paper?
⌨️ Section 1 - Step 1 Get External Context
⌨️ Section 1 - Step 2 First Casual Read
⌨️ Section 1 - Step 3 Fill External Gap
⌨️ Section 1 - Step 4 Conceptual Understanding
⌨️ Section 1 - Step 5 Code Deep Dive
⌨️ Section 1 - Step 6 Method and Result Slow Walk
⌨️ Section 1 - Step 7 Weird Gap Identification
⌨️ Section 2 - How to read Deep Learning Math?
⌨️ Section 2 - Step 0 : relax
⌨️ Section 2 - Step 1 : identify all formula shown or referred
⌨️ Section 2 - Step 2 : take the formulas out of the digital world
⌨️ Section 2 - Step 3 : work on them to translate symbols into meaning QHAdam
⌨️ Section 2 - Step 4 : summarize the meanings into an intuition
⌨️ Section 3 - How to learn math efficiently
⌨️ Section 3 - Step 1 - Select the right math sub field
⌨️ Section 3 - Step 2 - Find exercise-rich resource
⌨️ Section 3 - Step 3 - green, yellow and red method
⌨️ Section 3 - Step 4 - study the theory to fix yellow and red
⌨️ Section 4 - How to read deep learning codebase?
⌨️ Section 4 - Step 0 Read the paper
⌨️ Section 4 - Step 1 Run the code
⌨️ Section 4 - Step 2 Map the codebase structure
⌨️ Section 4 - Step 3 Elucidate all the components
⌨️ Section 4 - Step 4 Take notes of unclear elements
⌨️ Section 5 - Segment Anything Model Deep Dive
⌨️ Section 5 - Task
⌨️ Section 5 - SAM Testing
⌨️ Section 5 - Model Theory
⌨️ Section 5 - Model Code Overview
⌨️ Section 5 - Image Encoder Code
⌨️ Section 5 - Prompt Encoder Code
⌨️ Section 5 - Mask Decoder Code
⌨️ Section 5 - Data & Engine
⌨️ Section 5 - Zero-Shot Results
⌨️ Section 5 - Limitation
⌨️ Conclusion
Taught by
freeCodeCamp.org