这是我pytorch学习记录的repo
conda env = PY35(python 3.5) torch version = 1.1.0
The method to check torch verison
import torch
print(torch.__version__)
Filename | Usage |
---|---|
test.py | 频繁使用 |
ativationFunction.py | 激活函数运算和可视化展示 |
fittingRegression.py | 关系拟合(回归) |
classification.py | 区分类别,分类,(我认为就是离散的回归) |
basicOperation.py | 快速搭建网络、保存、读取网络、批训练dataloader 、优化器效果对比 |
CNN.py | CNN在MNIST手写数据集上的使用 |
The folder 'Tutorial' includes my exercise codes in 《深度学习方法与应用》 in semester 2020 Spring
The folder 'IntersectionClassification' includes a project to classify different traffic intersections in a small scale using SqueezeNet.