Bibliography (9):

1. Scaling MLPs: A Tale of Inductive Bias

2. Attention Is All You Need

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

4. MLP-Mixer: An all-MLP Architecture for Vision

5. ImageNet Large Scale Visual Recognition Challenge

6. https://github.com/microsoft/SPACH

7. ImageNet: A Large-Scale Hierarchical Image Database

8. https://arxiv.org/pdf/2108.13002#page=6&org=microsoft

9. Wikipedia Bibliography:

   1. Convolutional neural network