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This tutorial provides a step-by-step guide on using the Deep Learning Training Module for multi-class image segmentation of cell images, specifically focusing on membranes and mitochondria in Drosophila brain tissue. It covers data setup, preliminary training phases, and monitoring techniques using TensorBoard to evaluate model performance. Key parameters and settings for training, including hyper-parameters and data preparation, are outlined to ensure effective model training and evaluation.

Author

covestcovest

Language

EN