Windows vs mac for machine learning3/4/2023 CoreML targets iOS and macOS, while the TensorFlow model can be used in any application. Once the model is trained, it can be exported as a CoreML, TensorFlow, TensorFlow Lite or a hosted model. You can continue to play with the model until the predictions are satisfactory. Based on your votes, Lobe will continuously course-correct by retraining the model. The combination of red and green buttons will let you confirm the prediction. Lobe will let you test the model interactively through the webcam or uploaded images. Though this is termed as play, it’s more of an evaluation of the model. The best thing about this step is that it happens in the background with no manual intervention. The tool uses the CPU of your computer to complete the training. There is no UI or configuration required to start the training process. As soon as a sufficient number of images are imported and labeled, Lobe will kick off the training job behind the scenes.
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