Différences entre les versions de « Deep Learning Tutorial 2019 installations »
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| Ligne 47 : | Ligne 47 : | ||
<i>Install PyTorch and Tensorflow packages. Depending on your system, you can install either the cpu or gpu version. Do not install both:</i> | <i>Install PyTorch and Tensorflow packages. Depending on your system, you can install either the cpu or gpu version. Do not install both:</i> | ||
# conda install pytorch torchvision cpuonly -c pytorch # for cpu | # conda install pytorch torchvision cpuonly -c pytorch # for cpu | ||
| − | # conda install -c aaronzs tensorflow | + | # conda install -c aaronzs tensorflow=1.10 |
Or; | Or; | ||
| Ligne 60 : | Ligne 60 : | ||
<i>For editor, install either jupyter notebook or jupyter lab:</i> | <i>For editor, install either jupyter notebook or jupyter lab:</i> | ||
| − | # conda install -c anaconda jupyter | + | # conda install -c anaconda jupyter |
| + | Or; | ||
# conda install -c conda-forge jupyterlab | # conda install -c conda-forge jupyterlab | ||
| − | <i> You may need to have other editors like notebook, sublime text, vscode, spyder, etc., if you wish.<i> | + | <i> You may need to have other editors like notebook, sublime text, vscode, spyder, etc., if you wish.</i> |
| + | <i>Execute check_packages.sh to see any missing package:</i> | ||
| + | # chmod +x check_packages.sh | ||
| + | # ./check_packages.sh | ||
| + | <i>See the output of the bash file to install missing packages.</i> | ||
</div></div> | </div></div> | ||
Version du 6 septembre 2019 à 12:02
Instructions
Participants needs to complete the 3 following instructions before the tutorial kick off date:
- Installations
- Download resources
- Configurations
Installations
There are 2 options:
- Using personal computer
- Using Google Colab (alternative)
Using personal computer
A. Download and install Anaconda
Follow the underlisted steps to install Anaconda distribution in Linux (Ubuntu):
- cd /tmp
- curl -O https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
- sha256sum Anaconda3-2019.03-Linux-x86_64.sh
- bash Anaconda3-2019.03-Linux-x86_64.sh
- source ~/.bashrc
- conda list
Follow the underlisted steps to install Anaconda distribution in Windows:
- coming soon ...
B. Create virtual environment
We will use the name `dsai` for thi purpose (if you choose a different name, endeavour to be consistent:
- conda create --name dsai
- source activate dsai
C. Install packages
Install PyTorch and Tensorflow packages. Depending on your system, you can install either the cpu or gpu version. Do not install both:
- conda install pytorch torchvision cpuonly -c pytorch # for cpu
- conda install -c aaronzs tensorflow=1.10
Or;
- conda install pytorch torchvision cudatoolkit=9.2 -c pytorch # for gpu with cuda 9.2
- conda install -c aaronzs tensorflow-gpu=1.10
Install python libraries:
- conda install numpy matplotlib
- pip install torchsummary
- conda install -c anaconda scipy==1.1.0
- conda install -c conda-forge opencv tqdm
For editor, install either jupyter notebook or jupyter lab:
- conda install -c anaconda jupyter
Or;
- conda install -c conda-forge jupyterlab
You may need to have other editors like notebook, sublime text, vscode, spyder, etc., if you wish.
Execute check_packages.sh to see any missing package:
- chmod +x check_packages.sh
- ./check_packages.sh
See the output of the bash file to install missing packages.
Downloads
Configurations
- Installation guide
Open a terminal and type and execute the following commands:
Follow the following steps to install Anaconda distribution in Ubuntu:
- cd /tmp
- curl -O https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
- sha256sum Anaconda3-2019.03-Linux-x86_64.sh
- bash Anaconda3-2019.03-Linux-x86_64.sh
- source ~/.bashrc
- conda list
Follow the following steps to install:
- conda create --name dsai python=3
- conda activate dsai
Follow the following steps to install:
- conda install -c aaronzs tensorflow-gpu=1.10
- conda update conda
Follow the following steps to install:
- conda install -c anaconda jupyter
Follow the following steps to install:
- conda install -c anaconda opencv3
- conda install -c anaconda matplotlib
- conda install -c anaconda pillow
- conda install -c anaconda scikit-learn
- conda install -c anaconda scikit-image
- Tutorial dataset
Follow the following steps to install
Follow the following steps to install
- Git repository
- Reference materials
Follow the following steps to install
Follow the following steps to install
- Survey
- Exercises