Model Checkpointing in TensorFlow Using tf.train.Saver
Saving Model Parameters
During training, it is esssential to persist learned parameters to disk for later validation, inference, or continued training. TensorFlow provides the tf.train.Saver class for this purpose.
To begin, instantiate a Saver object:
saver = tf.train.Saver()
The max_to_keep parameter controls how many checkpoint files are re ...
Posted on Thu, 23 Jul 2026 17:02:32 +0000 by nelsons