May 27, 2018 by analox .sc lab – Revisit Objectives: Portability Support experiments – AI / SC topics Progress: Setup Linux (Ubuntu) virtual machine (based on Virtual Box) Install Anaconda package Install Eclipse & git-hub
1. We should use Python 3
https://www.quora.com/Which-version-of-Python-is-more-often-used-in-machine-learning-Python-2-7-or-Python-3-0+
2. Anaconda installation:
https://docs.anaconda.com/anaconda/install/linux
https://www.anaconda.com/download/#linux
3. Next step
https://www.tensorflow.org/install/install_linux#InstallingAnaconda
1. Spyder crash (core dump). Solution: “conda install pyopengl” (issue with OpenGL)
DONE:
1. Proceed on https://docs.anaconda.com/anaconda/user-guide/getting-started#open-prompt-lin
2. Install Tensorflow : Use Anaconda Navigator to install tensorflow package
Next step:
3. Continue with : https://machinelearningmastery.com/setup-python-environment-machine-learning-deep-learning-anaconda/
Eclipse installation: https://websiteforstudents.com/how-to-install-eclipse-oxygen-ide-on-ubuntu-167-04-17-10-18-04/