NSYSU MIS Deep Learning Assignment2 Competition
- Please go to Team page and change your team name to your student ID. Ex. M114020035

- Goal：Predict the category of fashion items: ['t-shirt', 'trouser', 'pullover', 'dress', 'coat', 'sandal', 'shirt', 'sneaker', 'bag', 'ankle boot'.]

- How to do：Please write a classification model, train you model with the training data and predict the categories with the testing data. Finally, upload your prediction to Kaggle.

- Assignment score evaluation：
    - Accuracy of your prediction
- Note：The accuracy score shown on your Kaggle leaderboard is only 70% of the test data, the final score will be shown after the competition is over, which will be the accuracy of the whole test data。

- 請先至上方 Team 頁面將隊伍名稱改成學號。Ex. M114020035

- 目標：預測時尚單品的種類 ['t-shirt', 'trouser', 'pullover', 'dress', 'coat', 'sandal', 'shirt', 'sneaker', 'bag', 'ankle boot'.]
作業進行方式：請同學寫一個分類的模型，利用 training data 訓練後，進行 testing data 預測，並將預測結果上傳到Kaggle

- 分數衡量方式：

    - 預測準確度
- 注意：Kaggle顯示的 Public leaderboard 為預測結果中70%資料的準確度，最終成績為所有資料的準確度。