Bag of tricks for Image with Convolutional Neual Networks閱讀
該篇文章探討了訓練分類的一些tricks 第二章 介紹了一些常用的數據增強技巧，我準備把它們都實現了 另見 第三章 訓練相關 問題1：大的batchsize會導致訓練的模型精度低 原因/現象：batchsize大了，每個batch內均值雖然不變，但是方差變小了，導致訓練集上（或者這樣理解大的batchsize相應的噪聲小一點） 解決方案： 1.調大學習率，按照線性調，好比batchsize128,
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