Bibliography:

1. ​ Attention Is All You Need

2. ​ Vision Transformer: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

3. ​ MLP-Mixer: An all-MLP Architecture for Vision

4. ​ Fully-Connected Neural Nets

5. ​ ImageNet Large Scale Visual Recognition Challenge

6. Wikipedia Bibliography:

   1. ​ Convolutional Neural Network