Take Your Tensorflow Skills to New Heights with Attention Unet

Attention, in the context of image segmentation, is a way to highlight only the relevant activations during training. This reduces the computational resources wasted on irrelevant activations, providing the network with better generalisation power. Essentially, the network can pay “attention” to certain parts of the image.
Paper: arxiv.org/abs/1804.03999
#unet #imagesegmentation #deeplearning
Timestamps:
0:00 Intro
1:23 Type of attentions (soft and hard)
2:34 Unet vs Attention Unet
5:04 Attention Unet Workflow
8:43 Attention Unet Implementation in Tensorflow (Keras)
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[@lalitb]

Good explanation dai❤️

[@geodev]

Thank you 🙂