Pytorch-tutorial

Uecker Fast tutorial on Pytorch usage for Neural Network

Installation of Anaconda/Miniconda on Linux (Mikneto)

First, download the Anaconda installer for Python 3.7 on Linux:

wget https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
Install Anaconda by bash Anaconda3-2019.03-Linux-x86_64.sh. Follow the instuction on the website is a good option. Hopefully, Anaconda is successfully installed. You can try jupyter notebook to test wheter it works and follow the instruction on (https://www.digitalocean.com/community/tutorials/how-to-install-run-connect-to-jupyter-notebook-on-remote-server) to run notbook remotely.

First check the cuda version of the system by typing: nvcc --version, you will find the cuda version (which should be 10.0 on Mikn]eto)
Then you can install pytorch through conda, check the command on (https://pytorch.org/), for Mikneto, it is:

conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
Congrats! So far, Pytorch is successfully installed, it's very easy, right?

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
.ipynb_checkpoints		.ipynb_checkpoints
data		data
img		img
Linear-regression.ipynb		Linear-regression.ipynb
MNIST Classification and the Tutorial for CNN.ipynb		MNIST Classification and the Tutorial for CNN.ipynb
Pytorch Segmentation Unet.ipynb		Pytorch Segmentation Unet.ipynb
README.md		README.md
installer.py		installer.py
model.ckpt		model.ckpt