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finalterm_task1's Introduction

本项目是神经网络与深度学习期末PJ的第一题。 报告结果产出，具体步骤如下：

Step0:下载训练好的模型 https://pan.baidu.com/s/1rotFxl0VsmW48W5sccOY0w 提取码为 1rbv,并解压至当前目录

Step1：训练自监督模型SimSiam并进行Linear Classification Protocol

python simsiam.py --epoches 81 
python finetune.py --epoches 50

Step2：训练没有预训练的Resnet18模型进行比较

python resnet18.py --pretrained False --epoches 130

Step3：训练预训练的Resnet18模型进行比较

python resnet18.py --pretrained True --epoches 50

Step4：在已训练好的SimSiam模型基础上继续训练并Linear Classification Protocol

python simsiam_con.py  
python finetune.py --epoches 50

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