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fudancv-assg1's Introduction

复旦大学大数据学院,计算机视觉第一次作业。

题目描述

手工搭建三层神经网络分类器,在数据集[Fashion-MNIST](https:// github.com/zalandoresearch/fashion-mnist)上进行训练以实现图像分类。具体见:https://elearning.fudan.edu.cn/courses/74313/assignments/87031

测试与训练

打开demo.ipynb, 执行Training和Testing程序块即可。

文件说明

layers.py 存放线性层和各种激活函数

loader.py 存放数据集loader

Loss.py 存放交叉熵损失函数

net.py 预设网络架构

optim.py 存放优化器,目前只有SGD

参考内容

[1] Fashion-MNIST

[2] NN-by-Numpy

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