Jupyter Notebook Examples

jupyter.ipynb is an example of integrating matplotlib and training with Keras on Jupyter Notebook. This example connects a parameter dictionary, prints simple graphs, and trains an MNIST classifier using Keras.

Pre-populated examples ready to enqueue

A self-hosted Trains Server installs with the example experiments located in the trains repository, examples folder

The experiment results tabs that contain the features in this example are the following:

  • HYPER PARAMETERS - Parameter dictionary.
  • ARTIFACTS
    • Output model (a link to the output model details on the Projects page, models table).
    • Output model (a link to the Model Configuration).
  • RESULTS
    • SCALARS - Training loss across iterations.
    • PLOTS - Sine and circles plots, convolution weights histogram.
    • LOG - Console standard output/error.