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.
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
withmodel.fit
'scallbacks
, and the other ways are under thetf.summary
.There are two ways to use TensorBoard in Pipcook:
Which way do you think is better? @utkobe @wordcount