└── README.md


/README.md:
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 1 | ### Face Gender Classification Tutorial
 2 | 
 3 | > [PyTorch Implementations] Face Gender Classification Tutorial
 4 | 
 5 | * <b>Dataset</b>: [Kaggle Gender Classification Dataset](https://www.kaggle.com/cashutosh/gender-classification-dataset)
 6 | * Gender classification result examples:
 7 | 
 8 | <img width="60%" src="https://user-images.githubusercontent.com/16822641/109343528-dbac2000-78b0-11eb-842a-1def1bdf8e72.png"/>
 9 | 
10 | #### <b>1. Tranfer Learning with ResNet-18</b>
11 | 
12 | * Validation accuracy: <b>97.2186%</b>
13 | * [Google Colab source code](Face_Gender_Classification_using_Transfer_Learning_with_ResNet18.ipynb)
14 | * [Trained model file download](https://postechackr-my.sharepoint.com/:u:/g/personal/dongbinna_postech_ac_kr/EVd9bFWzqztMrXRDdNnCHQkBsHaM4n5_1q1fue77vtQVtw)
15 | 
16 | #### <b>How to test?</b>
17 | 
18 | * [Google Colab source code](/Face_Gender_Classification_Test.ipynb)
19 | 


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