video1.0<iframe src="https://www.loom.com/embed/0c909764d6794fadb759b8a58c715323" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/0c909764d6794fadb759b8a58c715323-00001.gif211How to employ "Train from Scratch" vs. "Train from Checkpoint" to create a more robust model with Roboflow's one-click training solution, Roboflow Train. Training from a checkpoint leverages "transfer learning." At its core, transfer learning is using what a given model has learned about one domain and applying those learnings to attempt to learn a related problem. For more on transfer learning, read the blog post from Roboflow CEO, Joseph Nelson, "A Primer on Transfer Learning": https://blog.roboflow.com/a-primer-on-transfer-learning/.