The TensorFlow ecosystem

In addition to the main library, TensorFlow offers numerous tools that are useful for machine learning. While some of them are shipped with TensorFlow, others are grouped under TensorFlow Extended (TFX) and TensorFlow Addons. We will now introduce the most commonly used tools.

TensorBoard

While the progress bar we used in the first example of this chapter displayed useful information, we might want to access more detailed graphs. TensorFlow provides a powerful tool for monitoring—TensorBoard. Installed by default with TensorFlow, it is also very easy to use when combined with Keras's callbacks:

callbacks = [tf.keras.callbacks.TensorBoard('./logs_keras')]
model.fit(x_train, y_train, epochs...