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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment2 Code1. 实现一个三层全连接神经网络实现思路: 通过PyTorch实现一个三
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment2 Code1. Convolution: Naive forward实现思路: 通
2020-01-16 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment2 Code1. dropout forward实现思路: 参考论文[1],整体实现
2020-01-15 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment2 Code1. batch normalization forward实现思路:
2020-01-14 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment2 Code1. affine layer forward & backwa
2020-01-13 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment1 Code1. 训练SVM分类器（多个学习率和正则化强度的准确率）实现思路:
2020-01-12 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment1 Code1. 通过计算score,Loss和梯度实现思路: 该两层神经网络,可通
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment1 Code1. 通过循环计算Loss和梯度实现思路: 与SVM类似,计算loss和
2020-01-09 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目 [ cs231n-assignment1 ] ( https://github.com/notplus/cs231n
2020-01-08 CS231 Assignment
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Introduction本文为斯坦福大学CS231n课程作业及总结，若有错误，欢迎指正。所有代码均已上传到GitHub项目cs231n-assignment1 Code1. 通过两层循环计算L2实现思路: 对train和test数据切片，对
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