In this tutorial, learn how to easily implement the encoder and decoder blocks of the U-NET architecture using TensorFlow. This step-by-step guide will take you through the process of integrating these essential components into your deep learning model, giving you the tools you need to achieve high-quality image segmentation results. With clear explanations and expert tips, you'll be able to confidently implement the U-NET encoder and decoder blocks in TensorFlow like a pro. Optimized for search engines, this tutorial is a must-watch for anyone looking to improve their image segmentation skills.

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