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

In this video, we are going to learn about the RESUNET or Deep Residual UNET and build it in TensorFlow using Keras API.

Semantic segmentation is an essential task in computer vision. It is the process of classifying each image pixel into a class label. It helps the computer to understand the environment in which it is operating. It's application include self-driving cars, medical image analysis and many more.

CODE: https://github.com/nikhilroxtomar/Semantic-Segmentation-Architecture/blob/main/TensorFlow/resunet.py
BLOG: https://idiotdeveloper.com/what-is-resunet/

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