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How translation invariance is achieved in CNNs?

I solved your problem while reading this paper. https://arxiv.org/pdf/2103.10097
Joseph Kasnoff's user avatar
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How to encode categorical data for a convolutional model?

It is a common practice to encode categorical data using embedding layers. In your case, it seems like you have a stream of discrete (categorical) input and you want to use a 1d convolution (you could ...
ereisr's user avatar
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1 vote

Which type of neural network to use to classify data by which equation most likely generated it?

according to the question you have 2 classes. the samples from the first class are generated according to f and the samples from the second class are generated according to function g which is ...
saleh's user avatar
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1 vote
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Distinguishing between the fundamental structures of the convolutional neural network and the recurrent neural network: hierarchical vs sequential

My answer is based on these 2 papers. https://arxiv.org/pdf/2110.13985 and https://arxiv.org/pdf/2111.00396 and here is the tutorial video https://www.youtube.com/watch?v=EvQ3ncuriCM that explains ...
saleh's user avatar
  • 158
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How does YOLO detect the object when the object is in multiple grid cells?

TL;TR The location of the input that a neuron sees is called receptive field. grid cell is merely used to demonstrate the concept of anchor. It has nothing to do with the receptive field of the ...
Wang's user avatar
  • 101
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How to calculate the gradient for the output with respect to the input pixels

"But I am not sure how to do it with respect to input pixels." the same way you do it for the weights... you take your input tensor, you set requires_grad ...
Alberto's user avatar
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