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Different architectures contain different no. of filters and different sizes of input image.How to fix the size of input image and no. of filters.

What is the difference between NN and CNN and PNN?

Hi,

I recently started to deal with neural networks. I read about recurrent neural networks and convolutional neural networks. Is there anyone who can tell me which one (or the combination of both) is better suited for a question-answering system (more concretely for text classification)? Does someone have experience in this field or even publications?

Thanks a lot for your help.

- S

When training a CNN,how will channels effect convolutional layer. Some say that when finish conv, it will generate 3 feature maps when the sample is RGB,and then 3 feature maps will add up and turn into 1 feature map.What is the process mean.

I find it difficult in understanding the concept of convolutional neural networks enough so that I can code it in MATLAB. Can someone help me present the idea algorithmically?

What is Convolutional Neural Networks (CNN) ?

Hello dear all;

My question is how to recognize a face by using Convolutional Neural network in Tensorflow?

What are applications of CNN(convolutional neural network) recently.Please suggest me a review article for this issue.

I would appreciate your help if you could suggest / provide any (survey) papers on convolutional neural networks, including mathematics when applicable.

What I understood so far: A face embedding is a list of n (for example n=128) measures (numbers) that describe a human face. Feeding triplets to the neural network (two images from class a and an image from class b) - the neural network modifies the measurements so that the ones for the images in class a are more similar than those for image b.

What I don't understand: what are there measures exactly and how does the neural network modify them?