动手学深度学习 #
环境准备 #
备注：开发机器为 MacOS M1 Pro
python #
https://www.python.org/ftp/python/3.12.4/python-3.12.4-macos11.pkg
miniconda #
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
sh Miniconda3-latest-MacOSX-arm64.sh -b
jupyter #
PyTorch 框架 #
pip install torch==1.12.0
pip install torchvision==0.13.0
d2l 包 #
pip install d2l==0.17.6
D2L Notebook #
wget https://zh-v2.d2l.ai/d2l-zh.zip
unzip d2l-zh.zip
rm d2l-zh.zip
cd mxnet
开始 #
# 前提时安装了 zsh，否则使用 bash
./miniconda3/bin/conda init zsh
source ~/.zshrc
conda create --name d2l python3.12.4 -y
conda activate d2l