UNET Segmentation in Keras TensorFlow | Semantic Segmentation | Deep Learning

#IdiotDeveloper #ImageSegmentation #UNET
About: This video is all about the most popular and widely used Segmentation Model called UNET. UNET is built for Biomedical Image Segmentation. It is the base model for any segmentation task. It follows an encoder-decoder approach. It used skip connection to get the local information during the downsampling path and use it during the upsampling path.
The UNET is built-in TensorFlow using Keras API.

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CODE: https://github.com/nikhilroxtomar/UNe...
BLOG: https://idiotdeveloper.com/unet-segme...
DATASET: https://www.kaggle.com/c/data-science...
UNET PAPER: https://arxiv.org/abs/1505.04597

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