Transfer Learning in Computer Vision | What, How, Why
Transfer learning enables you to use what one model learned from one domain and apply it to a new domain. This enables models to train more quickly and often more accurately. In this hands on video, we breakdown what transfer learning is and how to get started.
A primer on transfer learning: https://blog.roboflow.com/a-primer-on-transfer-learning/
Public datasets: https://public.roboflow.com
Roboflow: https://roboflow.com
Mean average precision: https://blog.roboflow.com/mean-average-precision/
✅ Subscribe: https://bit.ly/rf-yt-sub
Transfer learning enables you to use what one model learned from one domain and apply it to a new domain. This enables models to train more quickly and often more accurately. In this hands on video, we breakdown what transfer learning is and how to get started.
A primer on transfer learning: https://blog.roboflow.com/a-primer-on-transfer-learning/
Public datasets: https://public.roboflow.com
Roboflow: https://roboflow.com
Mean average precision: https://blog.roboflow.com/mean-average-precision/
✅ Subscribe: https://bit.ly/rf-yt-sub