Image Sentiment Classification
本次作業為Image Sentiment Classification。我們提供給各位的training dataset為兩萬八千張左右48x48 pixel的圖片，以及每一張圖片的表情label（注意：每張圖片都會唯一屬於一種表情）。總共有七種可能的表情（0：生氣, 1：厭惡, 2：恐懼, 3：高興, 4：難過, 5：驚訝, 6：中立(難以區分為前六種的表情))。
Testing data則是七千張左右48x48的圖片，希望各位同學能利用training dataset訓練一個CNN model，預測出每張圖片的表情label（同樣地，為0~6中的某一個）並存在csv檔中。
[注意] 這次作業希望大家在衝高Kaggle上Accuracy的同時，對訓練的model及預測的結果多做一些觀察（P3-P5），並在報告中多加詳述。
https://inclass.kaggle.com/c/ml2017-hw3
https://drive.google.com/file/d/0B8Si647wj9ZoTHlJR1pDazUxSVE/view?usp=sharing
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