This is a little hacked-together notebook demonstrating how to plot an arbitrary tensor in the "Projector" pane of TensorBoard, with images for the points.

It's super hacked-together because TensorFlow 2.0 has "simplified" the API for plotting embeddings, and only plots Embedding layers by default.

See this issue for when this feature might be cleaned up.

Setup/Running

Notebook

1. Clone the repo

2. Create a conda environment, conda create -n autoencoder-fashion-mnist python=3

3. Upgrade pip: pip install pip --upgrade

4. Install requirements: pip install -r requirements.txt

5. Run the notebook: jupyter notebook ... !

6. Run TensorBoard with tensorboard --logdir logs

7. Jump over to the "Projector" tab!

Flask app

Install the requirements, and then:

FLASK_APP=app.py flask run