I have created a Neural Network Regression Model and I wish to deploy it using AWS. I am using tensorflow serving, and have gone so far as to save the model.
Now I am trying to use Docker to deploy it in the container using Docker on Windows 10 home As an example, I tried to use multiple tutorials but when it comes to this command, no matter what I do, it just doesn't work for me:
docker run -t --rm -p 8501:8501 -v "$TESTDATA/saved_model_half_plus_two_cpu:/models/half_plus_two" -e MODEL_NAME=half_plus_two tensorflow/serving
Every time I change something, I get a different error. I am totally at loss. Please direct me to some tutorials for this that are simple but complete for novices like me. I have already read the TensorFlow documentation but the errors persist. Any help would REALLY oblige me greatly since I have been stuck for about a month now.
The easiest tutorial I found was https://www.tensorflow.org/tfx/serving/docker#serving_example
Also
Docker toolkit
has trouble with the mounts as you have to manually specify the path, so if you can afford it, upgrade to Windows Pro which will simplify dockerization. That way you will get Docker Desktop which is much simpler.