Tutorial 119 - Multiclass semantic segmentation using U-Net (in Keras)

Tutorial 120 - Applying trained U-Net model to segment large images

215 - 3D U-Net for semantic segmentation

Tutorial 124 - Using pretrained models as encoders in U-Net

219 - Understanding U-Net architecture and building it from scratch

Tutorial 111 - Multiclass Classification using deep learning

Multiclass Segmentation using UNET in TensorFlow | Crowd Instance-level Human Parsing (CHIP) Dataset

PyTorch Image Segmentation Tutorial with U-NET: everything from scratch baby

Tutorial 84 - Intersection over Union (IoU) for evaluating semantic segmentation models

Tutorial 117 - Building your own U-Net using encoder and decoder blocks

Tutorial 109 - Regression using deep learning

Tutorial 121 - Loading data directly from drive to train U-Net for semantic segmentation

Tutorial 125 - Using pretrained deep learning model as feature extractor for XGBoost segmentation

The U-Net (actually) explained in 10 minutes

77 - Image Segmentation using U-Net - Part 5 (Understanding the data)

208 - Multiclass semantic segmentation using U-Net

Guidelines while working with partial annotations in deep learning

Tutorial 122 - Segmenting 3D datasets using 3D U-Net

Tutorial 90 - Setting up your free Google Colab account for deep learning

Tutorial 115 - What is U-Net and how is it different from an autoencoder?

74 - Image Segmentation using U-Net - Part 2 (Defining U-Net in Python using Keras)