Machine Learning, Tutorial, Editors Pick, Image Segmentation, Medical Imaging.
tasks for training an optimal ML model involve hyper-parameter optimization, which involves selecting the best set of parameters that ensure well fit weights and biases for the deep learning U-net model. We perform hyper-parameter selection for the following: Compiler (Adam) Learning rate (0.0001)