meta: how to work with tensorboard

[yorkie]

TensorBoard is TensorFlow's visualization toolkit, it can do many visualization works as https://www.tensorflow.org/tensorboard described. To use this toolkit with the model, the easy way is to use tf.keras.callbacks.TensorBoard with model.fit's callbacks, and the other ways are under the tf.summary.

There are two ways to use TensorBoard in Pipcook:

• use python-node to use the above Python methods
• tfjs-node adds the TensorBoard at: Add TensorBoard callback for model training: tf.node.tensorBoard() tensorflow/tfjs-node#202

Which way do you think is better? @utkobe @wordcount

[yorkie]

The tfjs API: https://js.tensorflow.org/api_node/1.7.0/#node.tensorBoard