It is common in the transfer learning approach to freeze and add layers when training on the target dataset. Also, a fine-tuning step with unfrozen layers is a common way to adjust the model to the final dataset. SimbaML should be able to support this.
It is common in the transfer learning approach to freeze and add layers when training on the target dataset. Also, a fine-tuning step with unfrozen layers is a common way to adjust the model to the final dataset. SimbaML should be able to support this.