The fastai_with_tensorboard.py example demonstrates the integration of Trains into code which uses fastai and TensorBoard. It trains a simple deep neural network on the fastai built-in MNIST dataset (see the fast.ai documentation). It uses the fastai
LearnerTensorboardWriter callback, and Trains automatically logs TensorBoard through the callback. When the script runs, it creates an experiment named
fastai with tensorboard callback which is associated with the
Trains automatically logs the histograms output to TensorBoard. They appear in RESULTS > PLOTS.
Histograms output to TensorBoard. They appear in RESULTS > PLOTS.
Text printed to the console for training progress, as well as all other console output, appear in RESULTS > LOG.