https://github.com/jonbruner/tensorflow-basics

A few TensorFlow techniques I'm saving for future reference.
https://github.com/jonbruner/tensorflow-basics

tensorflow tensorflow-models tensorflow-tutorials

Last synced: 3 days ago
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A few TensorFlow techniques I'm saving for future reference.

• Host: GitHub
• URL: https://github.com/jonbruner/tensorflow-basics
• Owner: jonbruner
• License: mpl-2.0
• Created: 2016-10-03T18:38:48.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2016-10-04T01:20:43.000Z (about 8 years ago)
• Last Synced: 2024-01-19T11:18:20.961Z (10 months ago)
• Topics: tensorflow, tensorflow-models, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage:
• Size: 128 KB
• Stars: 13
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Tensorflow Basics

TensorFlow is great! Here are a few techniques I'm saving for future reference.

[save-load](save-load) illustrates the process for saving a TensorFlow model and weights, then reinstating it in a different application to either continue training or run the model. It took me a while to figure out a few details of this process, so I'm sharing it here in case it's useful to others. Once you've figured it out, saving and loading a model is very straightforward.

Begin with [Save](save-load/save.ipynb), which also includes a quick demo of TensorFlow's `feed` mechanism, then move on to [Load](save-load/load.ipynb) to see how to load a TensorFlow model in a new file.

Best,

Jon Bruner