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数学分析--实数系的连续性
aWty_: 你怎么还在看我的csdn
数学分析--实数系的连续性
aWty_: 复活了
数学分析--实数系的连续性
蒟蒻Lucas: 复活了
机器学习--神经网络
2401_84079994: I guess the math part is used in certain functions in the whole process flow. I did not try to memorize all the related functions. At least not doing so before I can catch the supporting logic and/or math prove behind. In fact I am trying to run the simple network on a very simple demo example provided in a book, line by line, for about 2 months on and off. Kind of frustrated by the line by line explanations on the book. Only understand what it is doing but lack why it is doing so. Well, it is college experience. Professor can not tell everything and student can not learn everything.
机器学习--神经网络
aWty_: In a particular training, those parameters are randomly given in the initialization part, and the SGD algorithm would help you adjust those parameters automatically to reach a lower loss, which means reaching higher accuracy for prediction. So the initialization for parameters is not a part of network design, but a part of training process. That is my understanding for your question.

dp optmization

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~~在 AFO 的边缘徘徊的 OIer~~ 数学系在读本科蒟蒻

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