Course mit

The pre-configured and ready-to-use runtime environment for the MIT 6.S094 course: Deep Learning for Self-Driving Cars, 2017. It includes Python 2.7, TensorFlow 0.12.1 and OpenCV 3.3.0. The software stack is optimized for running on CPU.

Configuration

Full settings

init

Services control

Available services: cron jupyter_notebook orientation
Start all services: start
Stop all services: stop
Service commands: available|enabled|disabled|enable|disable|start|stop|status|restart servicename

jupyter_notebook

Configuration

Jupyter version: | 4.3.0 Jupyter notebook version: | 5.1.0 Config: | /jet/etc/jupyter_notebook/jupyter_notebook_config.py Bind address: | 0.0.0.0 Address: | http://server_address:8888 Password: | empty

Daemon management

Start: | start jupyter_notebook Stop: | stop jupyter_notebook Restart: | restart jupyter_notebook

tensorflow

Version: 0.12.1

python

Python version:  
Path to interpreter: /jet/bin/python

perl

Perl version: v5.26.1
Path to interpreter: /jet/bin/perl

config

Directories

Configurations: /jet/etc
Log files: /jet/log
Applications: /jet/app
Applications data: /jet/var
Temporary files: /jet/tmp
Persistent data: /jet/prs

enter

Entry point: /jet/enter
Working directory: /jet/prs/workspace