Train Semantic Segmentation Models from a Previous Checkpoint

You can now train Semantic Segmentation models from a previous checkpoint using transfer learning. This is offered in addition to training from the base ImageNet weights,

Training from a previous checkpoint is ideal if you have trained an accurate version of your model that you want to use as a base to train future model versions.