This is a lab of python in deep learning. we want to generate a multilayer perceptron for handwritten digit classification from scratch: Using only NumPy and matplotlib libraries. This repo based on the Intelligent Architectures(5LIL0) of TU/e.
这是一个深度学习中的python实验。我想从头开始写一个用于手写数字分类的多层感知器。Part 1部分只使用NumPy和matplotlib库,Part 2使用Pytorch库。本仓库基于TU/e的智能架构(5LIL0)课程
- Install
Anacoda
- open
Anacoda Powershell Prompt
and inputconda init --all
- Open Windows PowerShell as an administrator (
win + x
) and enterset-executionpolicy remotesigned
. - Open folder of this repo
notebook
, and Right-click to open in terminal. - Input
jupyter notebook
, then you can do the lab.
- Install
Anacoda
- open
Anacoda Powershell Prompt
- Use
D:
to go to the disk where your folder is located(there I go to D disk) - Input
jupyter notebook
, then you can choose folder where lab is located.
- 安装
Anacoda
- 打开
Anacoda Prompt
然后输入conda init --all
- 以管理员身份打开 PowerShell (
win + x
) 然后输入set-executionpolicy remotesigned
. - 在
notebook
文件夹下右键从终端中打开。 - 输入
jupyter notebook
即可开始实验。
- 安装
Anacoda
- 打开
Anacoda Powershell Prompt
- 使用命令
D:
切换当前磁盘,这里是进入D盘 - 直接输入
jupyter notebook
, 然后在弹出的浏览器中选择lab文件所在位置开始实验。