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This directory contains 5 workflows.
01_Preprocessing
The workflow reads the downloaded image files and partitions into a training and hold-out set. Images are then split into multiple 64x64px patches that can […]
03_Random_Forest_solution
Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the model to the test set - […]
03. Train
Train a U-Net. For Option 1: Create a conda environment for Keras under Preferences -> KNIME -> Python Deep Learning. For Option 2: Use the conda […]
03. Train Model
Train a U-Net. For Option 1: Create a conda environment for Keras under Preferences -> KNIME -> Python Deep Learning. For Option 2: Use the conda […]