This course is organized by the Data Science Group @ UB
Deep learning is one of the fastest growing areas of machine learning and a hot topic in both academia and industry. This course will cover the basics of deep learning by using a hands-on approach.
There’s full documentation on installing Docker at docker.com, but in a few words, the steps are:
- Go to
docs.docker.comin your browser. - Step one of the instructions sends you to download the Docker Toolbox.
- On the Toolbox page, click on the Mac/Windows download button.
- Run that downloaded file to install the Toolbox.
- At the end of the install process, chose the Docker Quickstart Terminal.
- This opens up a new terminal window that runs through an installation script.
- At the end of the script, you will see ASCII art of a whale and your are left at a prompt.
- Run this command in the terminal:
docker run hello-world - This will give you output confirming your installation of docker has worked:
Hello from Docker - In the docker terminal, run (This operation requires a good internet connection to download ~2.5Gb; it will take some minutes):
docker pull deepub/deepub - Run the DeepUB image on your system:
docker run -p 8888:8888 deepub/deepub - Once these steps have been done, you can check the installation by starting your web browser and introducing this URL:
http://yourvirtualmachineIP:8888to access to the fully operational Jupyter notebook of this course. (Note: the address of your virtual machine (yourvirtualmachineIP) is printed at the end of the Docker booting process, just after the ASCII whale).