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FOUNDATION OF CONVOLUTION NEURAL NETWORKS
0:00:00 Computer Vision
0:05:43 Edge Detection Example
0:17:14 More Edge Detection
0:25:11 Padding
0:35:01 Strided Convolutions
0:44:03 Convolutions Over Volume
0:54:48 One Layer of a Convolution Network
1:10:58 Simple Convolutional Network Example
1:19:30 Pooling Layers
1:29:55 CNN Example
1:42:32 Why Convolutions
1:52:12 Yann LeCun Interview
DEEP CONVOLUTION MODEL: CASE STUDIES
2:20:01 Why loot at case Studies
2:23:09 Classic Networks
2:41:28 ResNets
2:48:36 Why ResNets Work
2:57:48 Networks in Networks and 1X1 Convolutions
3:04:28 Inception Network Motivation
3:14:43 Inception Network
3:23:29 MobileNet
3:39:47 MobileNet Architecture
3:48:19 EfficientNet
3:51:59 Using Open-Source Implementation
3:56:56 Transfer Learning
4:05:44 Data Augmentation
4:15:15 State of Computer Vision
OBJECT DETECTION
4:27:53 Object Locallization
4:39:47 Landamark Detection
4:45
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