In this tutorial, we are going to implement the U-Net architecture in TensorFlow, where we will replace its encoder with a pre-trained VGG19 architecture. The VGG19 is already trained on the ImageNet classification dataset. Therefore, it would have already learned the required features, which would help to boost the overall performance of the VGG19-UNET. The…
Nikhil Kumar Tomar
AI Researcher and a part-time blogger and YouTuber. Most of my research is focused medical imaging.
Hello Nikhil, Great article and video really informative and very efficient way of implementing data pipeline but when I was…
Hi Nikhil, Thanks for your dedications and explored very well. it is great helps to me. by Palani
ImportError: cannot import name ‘load_data’ from ‘data’ (C:\Users\Aravinda\anaconda3\lib\site-packages\data\__init__.py)
sir can you share a code of using squeeze and excitation network on custom CNN for a classification
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