classifications

1. AlexNet

• Cat & Dog : 분류
  1. dataset : Cat/Dog images(500여장)
  2. model : build

2. VGGNet

• Cat & Dog : 분류
  1. dataset : Cat/Dog images(500여장)
  2. model
     • build : vgg11 - vgg19(선택)
     • pretrained : vgg11 - vgg19(선택) + nn.AdaptiveAvgPool2d + fc(output=2)

3. VGG_19_model

• normal & Covid & Viral Pneumonia : 분류

1. dataset : 캐글(https://www.kaggle.com/datasets/pranavraikokte/covid19-image-dataset)
2. model : Convolutional Layer(pretrained vgg19) + nn.AdaptiveAvgPool2d + fc(output=3)

4.ResNet

• Cat & Dog : 분류

1. dataset : Cat/Dog images(500여장)
2. model : ResNet Build : ver_18, ver_34 - 기본블럭 사용(3X3) / ver_50, ver_101, ver_152 - 병목블럭 사용(1X1)(3X3)(1X1)