Machine Learning, Deep Learning, Image Segmentation, Keras, Biomedical Imaging.
defining the optimizer, loss function as well as metrics to be reported. Then training the model with training data coming from train generator and validation from validation generator. training logs (You can define Tensorboard callbacks as well in the model to keep a better track of loss) I have