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MNISTLoader类中的get_batch方法取出的数据存在重复项 #42

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opensourcedigest opened this issue Feb 7, 2020 · 1 comment

opensourcedigest commented Feb 7, 2020

将代码：

    def get_batch(self, batch_size):
        # 从数据集中随机取出batch_size个元素并返回
        index = np.random.randint(0, np.shape(self.train_data)[0], batch_size)
        return self.train_data[index, :], self.train_label[index]

改为：

    def get_batch(self, batch_size):
        # 从数据集中随机取出batch_size个元素并返回
        # index = np.random.randint(0, np.shape(self.train_data)[0], batch_size)
        index = np.random.choice(np.shape(self.train_data)[0], batch_size, replace=False)
        return self.train_data[index, :], self.train_label[index]

可避免每次获取的数据中不存在重复项。

Collaborator

huan commented Mar 29, 2020 •

edited

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Thank you for the suggestion, could you please kindly submit a Pull Request to fix that?

Appreciate!

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