# CNNA
[NOTES](https://community.deeplearning.ai/t/course-4-lecture-notes/11879)
## Basics


## 1 layer CN

## Pooling
No parameters to learn!!!!!!!!!!!!!!

## Neural Network with convolution

## CNN Networks
### LeNet

### AlexNet

### VGG

### ResNet

### Networks in Networks (1x1 convo)

### Inception

### GooleNet

### MobileNet

Less params

### Transfer learning
### Data augmentation

## Object Localization
### Landmark Detection

### Object Detection
#### Conv implementation

### Bounding Box Prediction

### IOU

### Non max Supression
clears out multiple pred

### Anchor Box

### YOLO

### RCNN
Instead of sliding through whole img slide through required area only

## Semantic Segmentation
U-Net algo is used for segmentation

### Transpose Convo

### UNet
low level by skip conn
high level by network

## FACE RECOGNITION
![Uploading file..._crw9bt7zi]()

### One shot learning
![Uploading file..._6w0ol3wxj]()

![Uploading file..._rq46224ut]()