Day1 : Convolutional Neural Network Basics
- Image Classification Basics
- Convolutional Neural Network 101
- Convolutional layer
- Pooling layer
- Keras : callback techniques

Day2 : CNN models
- Popular Architectures
- LeNet-5
- VGGNet
- ResNet

Day3 : For real image
- Data Augmentation
- Using Pretrained Models
- Transfer Learning

Day4 : Other techniques for Image
- Image as sequence
- RNN Basics
- AutoEncoder 101
- RNN for decoders
