Practice Image Classification using CIFAR-10 dataset

1. 20161643.ipynb

• Used CNN to acheive 85% accuracy

2. resnet.ipynb

• practice implementing ResNet architecture
• implement skip-gram architecture in MLP

3. ViT.ipynb

• practice implementing ViT architecture
• understand encoder, attention architecture