What is U-Net?
An example of an AI chatbot conversation about U-Net architecture in deep learning.
What is U-Net?
U-Net is a convolutional neural network architecture designed for image segmentation tasks.
How does U-Net differ from other CNN architectures?
U-Net has a unique encoder-decoder structure with skip connections that help retain spatial information.
What are some applications of U-Net?
U-Net is widely used in medical image analysis, such as segmenting organs in MRI scans.
Can you explain the skip connections in U-Net?
Skip connections allow the model to combine high-resolution features from the encoder with low-resolution features from the decoder.
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