DeepLabV3+ with ResNet50 as Encoder in TensorFlow 2.5 | DeepLabV3Plus | UNET
In this video, we are going to implement the DeepLabV3+ architecture from scratch in TensorFlow 2.5 framework. Here, we are going to use the ResNet50 as the pre-trained encoder for the network.
We have also used Squeeze and Excitation Network with the DeepLabV3+. Squeeze and Excitation Network is a channel-wise attention mechanism that suppresses irrelevant information and enhances the important one.
Code (GitHub): https://github.com/nikhilroxtomar/Sem...
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Watch video DeepLabV3+ with ResNet50 as Encoder in TensorFlow 2.5 | DeepLabV3Plus | UNET online without registration, duration hours minute second in high quality. This video was added by user Idiot Developer 22 July 2021, don't forget to share it with your friends and acquaintances, it has been viewed on our site 12,653 once and liked it 221 people.