The pre-configured and ready-to-use runtime environment for the Fast.ai's courses Practical Deep Learning for Coders, 2018 edition, part 1. It includes Python 3.6 and PyTorch 0.3.0. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.
| 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 version: | 4.3.0 Jupyter notebook version: | 5.0.0 Config: | /jet/etc/jupyter_notebook/jupyter_notebook_config.py Bind address: | 0.0.0.0 Address: | http://server_address:8888 Password: | empty
Start: | start jupyter_notebook Stop: | stop jupyter_notebook Restart: | restart jupyter_notebook
| Version: | 0.3.0 |
| Python version: | Python 3.6.3 |
| Path to interpreter: | /jet/bin/python |
| Perl version: | v5.26.1 |
| Path to interpreter: | /jet/bin/perl |
| Configurations: | /jet/etc |
| Log files: | /jet/log |
| Applications: | /jet/app |
| Applications data: | /jet/var |
| Temporary files: | /jet/tmp |
| Persistent data: | /jet/prs |
| Entry point: | /jet/enter |
| Working directory: | /jet/prs/workspace |
