- experiment for Tiny Imagenet
1. Learning full model
2. Dividing k clustering(k-means)
3. Learning model to k cluster sperately
4. Comparing 2 model
1. Learning full model
2. Dividing k clustering(k-means)
3. Learning model to k cluster sperately
4. Comparing 2 model