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Guide
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Overview
01 - ML Foundations
02 - Neural Networks
03 - Computer Vision
04 - Sequence Models
05 - Advanced Topics
06 - Generative Models
07 - Reinforcement Learning
08 - Theory Notes
09 - Projects
10 - Large Language Models
11 - Multimodal Learning
12 - Deployment
13 - Distributed Training
14 - Agents & Reasoning
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Computer Vision
CNN and image processing.
Learning Objectives
Understand CNN architecture
Master classic models
Learn detection and segmentation
Topics
1. CNN Basics
Convolution and Pooling
Feature Maps
2. Classic Architectures
ResNet / VGG / EfficientNet
3. Object Detection
YOLO / R-CNN
Resources
CS231n