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

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

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

Tutorial 123 - Deep learning architectures and benefits via transfer learning

226 - U-Net vs Attention U-Net vs Attention Residual U-Net - should you care?

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

210 - Multiclass U-Net using VGG, ResNet, and Inception as backbones

Implementing RESUNET in TensorFlow using Keras | Semantic Segmentation | Deep Learning

Делаю нейросеть с нуля

Самая сложная модель из тех, что мы реально понимаем

Кто пишет код лучше всех? Сравнил GPT‑5.2, Opus 4.5, Sonnet 4.5, Gemini 3, Qwen 3 Max, Kimi, GLM

Tutorial 79 - Image segmentation using traditional Machine Learning - Part 1

Почему диффузия работает лучше, чем авторегрессия?

235 - Pre-training U-net using autoencoders - Part 1 - Autoencoders and visualizing features

Tutorial 83 - Image classification using traditional machine learning

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

Почему «Трансформеры» заменяют CNN?

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

The U-Net Model

Pretrained VGG16 UNET in TensorFlow using Keras API | Deep Learning | Semantic Segmentation

Implementing original U-Net from scratch using PyTorch