Deep Learning with Keras

Using TensorBoard and Keras

Keras provides a callback for saving your training and test metrics, as well as activation histograms for the different layers in your model:

keras.callbacks.TensorBoard(log_dir='./logs', histogram_freq=0,  write_graph=True, write_images=False)

Saved data can then be visualized with TensorBoad launched at the command line:

tensorboard --logdir=/full_path_to_your_logs