Understanding Tensors: Learning a Data Structure Through 3 Pesky Errors
I've recently been tinkering with deep learning models in Tensorflow, and have accordingly been introduced to managing data as tensors.
As a Data Engineer that works all day in tables that I can easily slice, dice, and visualize, I had absolutely no intuition around working with tensors, and I seemed to constantly run into the same errors that, especially at first, went way over my head.
However, deep diving them has taught me a lot about tensors and TensorFlow, and I wanted to consolidate those learnings here to use as a reference.
If you have a favorite error, solution, or Debugging tip, please leave a comment!
Code recipes for debugging
Before we dive into the errors themselves, I wanted to document a few of the light-weight, simple bits and pieces of code that I've found helpful in debugging. (Although it must be stated for legal reasons that we of course always debug with official debugging features and never just dozens of print statements
