The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 3, TensorFlow, and PyTorch. The software stack is optimized for running on CPU.
| Version: | 2.1.2 |
| Version: | 0.3.0 |
| Version: | 1.5.0 |
| Python version: | Python 3.6.3 |
| Path to interpreter: | /jet/bin/python |
| 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: | 5.1.0 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
| 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 |
