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For questions about convolutional neural networks, also known as CNN or ConvNet.

3 votes
1 answer
791 views

In a Temporal Convolutional Network, how is the receptive field different from the input size?

I'm playing around with TCN's lately and I don't understand one thing. How is the receptive field different from the input size? I think that the receptive field is the time window that TCN considers …
MASTER OF CODE's user avatar
1 vote
Accepted

YOLO - does the Intersection over Union is actually a part of Non Maximum Suppresion

IoU is way to measure how much two areas overlap. As said in the comments IoU is used as a threshold parameter for NMS, so You could decide how much common space two areas have to have to be considere …
MASTER OF CODE's user avatar
0 votes
0 answers
277 views

How to colorize images with Variational Autoencoder?

CONTEXT I'm trying to colorize images with Variational Autoencoder. Input is 256x256 gray image. Output is 256x256x2 as I convert image to a LAB color space and then put gray channel as input and othe …
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