That is a very helpful primer. What resources did you use to learn that level of understanding in TensorFlow? Just the codebase? If you have any other articles or references to recommend, please do so. Thanks!
I've just spent some time learning TF on my own using the official doc and made a lot of projects on my Githubs.
If you're interested, here is the complete list of my articles so far:
How to handle shapes in TensorFlow: https://blog.metaflow.fr/shapes-and-dynamic-dimensions-in-te...
TensorFlow saving/restoring and mixing multiple models: https://medium.com/@morgangiraud/tensorflow-saving-restoring...
How to freeze a model and serve it with a python API: https://blog.metaflow.fr/tensorflow-how-to-freeze-a-model-an...
TensorFlow howto: a universal approximator inside a neural net: https://blog.metaflow.fr/tensorflow-howto-a-universal-approx...
How to optimise your input pipeline with queues and multi-threading: https://blog.metaflow.fr/tensorflow-how-to-optimise-your-inp...