Week 1

1- Computer Vision
2-Edge Detection Example 
3-More Edge Detection
4-Padding
5-Strided Convolutions
6-Convolutions Over Volume
7-One Layer of a Convolutional Network
8-Simple Convolutional Network Example
9-Pooling Layers
10-CNN Example
11-Why Convolutions

                                        Week 2

1-Why look at case studies, 
2- Classic Network, 
3- ResNets, 
4- why ResNets Works,
 5- Network in Network and 1x1 Convouluation,
 6- Inception Network Motivation
 7- Inception Network
 8- Using Open-Source Implementation
 9- Transfer Learning
10-Data Augmentation
11-State of Computer Vision

                                               Week 3

1-Object Localization
2-Landmark Detection]
3-Object Detection
4-Convolutional Implementation of Sliding Windows
5-Bounding Box Predictions
6-Intersection Over Union
7-Non-max Suppression
8-Anchor Boxes
9- Yolo algorithm
10-Region Proposals