Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
You can use these container to reproduce the environment the authors used for this tutorial. Incase it is helpful, I have provided a requirements.txt file, however, we highly recommend using the docker containers provided below as the dependencies can be complicated to build yourself.
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hamelsmu/ml-gpu: Use this container for any gpu bound parts of the tutorial. We recommend running the entire tutorial on an aws
p3.8xlargeand using this image. -
hamelsmu/ml-cpu: Use this container for any cpu bound parts of this tutorial.
The notebooks folder contains 5 Jupyter notebooks that correspond to Parts 1-5 of the tutorial.
This tutorial assumes knowledge of the material presented in a previous tutorial on sequence-to-sequence models.
We have made best attempts to make sure running this tutorial is as painless as possible. If you think something can be improved, please submit a PR!