# 【Computer Vision 課程目錄】

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#### 【視覺機器學習模型】- https://hackmd.io/@Yuan1108/SyWCXpOlJx
- Part1. 什麼是電腦視覺？
- Part2. 電腦視覺任務
- Part3. 傳統電腦視覺 VS. 現代電腦視覺
- Part4. Machine Learning x Computer Vision
- Part5. 機器學習模型的介紹
- Part6. Deep Learning x Computer Vision

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#### 【卷積神經網路】 - https://hackmd.io/@Yuan1108/SyxNQadlJl
- Part1. Convolution 運算
- Part2. 特徵偵測
- Part3. Convolution On Colorful image
- Part4. Convolution filter hyper parameter
- Part5. ReLU
- Part6. Pooling Layer
- Part7. Fully connected layers
- Part8. Softmax layer
- Part9. Putting together
- Part10. 計算參數量
- Part11. 為什麼CNN有用？
- Part12. 訓練CNN
- Part13. Backward propagation
- Part14. Gradient descent

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#### 【模型品質與改進】 - https://hackmd.io/@Yuan1108/BJI4S2Mgkg
- Part1. 簡介
- Part2. 基本的評估指標
- Part3. Overfitting and Generalization
- Part4. Regularization Methods

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#### 【進階影像視覺模型】- https://hackmd.io/@Yuan1108/SyaWYb3yJx
- Part1. LeNet
- Part2. AlexNet
- Part3. VGGNet
- Part4. ResNet
- Part5. MobileNet
- Part6. Inception Network
- Part7. SqueezeNet
- Part8. EfficientNet
- Part9. DenseNet
- Part10. Autoencoder
- Part11. Rank-N or Top-N Accuracy

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#### 【遷移學習與微調】 - https://hackmd.io/@Yuan1108/rk9rPcIx1e
- Part1. Callbacks
- Part2. 遷移學習

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#### 【物件偵測 I】 - https://hackmd.io/@Yuan1108/rJI9VDeMkx
- Part1. 什麼是物件偵測
- Part2. 物件偵測器
- Part3. Object Segmentation
- Part4. Classification vs Detection vs Segmentation
- Part5. 評估物件偵測器
- Part6. Non-Maximum Suppression
- Part7. R-CNN
- Part8. Fast R-CNNs
- Part9. Faster R-CNNs 架構
- Part10. Single Shot Detectors (SSDs)
- Part11. YOLO

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#### 【物件偵測 II】- https://hackmd.io/@Yuan1108/rJxlgWjmyg
- Part1. EfficientDet
- Part2. Vision Transformer (ViT)
- Part3. Detection Transformer (DETR)
- Part4. DeepSORT

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#### 【影像分割】- https://hackmd.io/@Yuan1108/HkwwNZoQkl
- Part1. What is Segmentation?
- Part2. Segmentation Models
- Part3. U-Net
- Part4. SegNet (Semantic Segmentation)
- Part5. Mask R-CNN
- Part6. Comparison
- Part7. Segmentation Metrics

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#### 【Autoencoder and GAN】- https://hackmd.io/@Yuan1108/SkJP-wENkg
- Part1. Autoencoders
- Part2. GAN

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#### 【模型壓縮（Network Compression）】- https://hackmd.io/@Yuan1108/ryXiBjQSyx
- Part1. 簡介
- Part2. Why do we need network compression?
- Part3. Network pruning
- Part4. Weight Pruning

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#### 【孿生網路（Siamese Networks）】- https://hackmd.io/@Yuan1108/ByqqgnQHyl
- Part1. What are Siamese Networks
- Part2. What are Siamese Networks used for?
- Part3. High Level Diagram of a Siamese Network
- Part4. Siamese Network Architecture
- Part5. Siamese Networks Loss Functions
- Part6. Training Siamese Networks
- Part7. Facial Recognition

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#### 【電腦視覺作業 I：MNIST】- https://hackmd.io/@Yuan1108/rkqVO5mZye

#### 【電腦視覺作業 II：CIFAR-10】- https://hackmd.io/@Yuan1108/rySVMuVbye

#### 【電腦視覺作業 III：Flower Class】- https://hackmd.io/@Yuan1108/ryBYX5EZyl