Linux / amd64
This container is used in the NVIDIA Deep Learning Institute workshop Building Intelligent Recommender Systems, and with it, you can build your own software using the same libraries and tools used in the workshop. We highly recommend taking the course before using this container.
Please Note: This container does not include the training materials or data from the workshop, just the base environment.
The following are required to run this container. For convenience, we also provide, for each, what the DLI used in our workshop.
Part of the workshop is to get familiar with Docker, so our first challenge to students is to set up Docker on their own using Docker's Quickstart Guide.
Part 1 helps with getting started. Part 2 explains how to build and run an image.
When ready, use the below command to run this container:
docker run -d \
--runtime=nvidia \
-p 8888:8888 \
nvcr.io/nvstaging/dli/dli-recommender-systems:v1.0.0
After running the above, visit :8888
in a browser to access the Jupyter Lab environment running inside the container. There will be a notebook, Next_Steps.ipynb
, containing instructions for a more advanced and open ended project intended for students who have completed the workshop.
Copyright 2020 NVIDIA
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Also used in this container, and with its own licensing:
Also used in this container, and with its own licensing:
Check out the DLI Website for other self-paced online courses and instructor-led workshops available from the NVIDIA Deep Learning Institute.