Linked Questions
14 questions linked to/from Convolution operator in CNN and how it differs from feed forward NN operation?
26
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Is it a good idea to use CNN to classify 1D signal?
I am working on the sleep stage classification. I read some research articles about this topic many of them used SVM or ensemble method. Is it a good idea to use convolutional neural network to ...
2
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2
answers
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Use matrix feature for machine learning or cluster analysis
I have a bunch of features that I would like to use for classification/machine learning and cluster analysis. Normally I use single point values or transformations of values for features and ...
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2
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2
answers
635
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How do filters affect the training loss in a convolutional neural network?
I am training a model, I am trying to lower the training loss. While testing different architectures I increased the number of filters to 128 from 64 - this reduced the training loss. I do not ...
- 29
0
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2
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Weight's shape of Convolution Neural Network?
I've have read that cnn have neuron per pixel but also read that it is not true. so what is the actual answer? and what I know is cnn tries to adjust the weight matrix which is also a kernel matrix, i ...
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1
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How to count the parameters in a convolution layer?
I'm preparing for an exam in Computer Vision. I came across with the following question from one of the exams:
What is the number of parameters of a convolution layer in a neural network, when the ...
- 171
2
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1
answer
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What is a convolutional neural network
I have been studying neural networks and I recently found out about deep learning and convolutional neural networks. Can someone give me a newbie introduction to convolutional neural networks, what ...
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0
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0
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117
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Clarifying terminology of concepts in a CNN
Despite having dealt with Machine Learning for a few years now, I still find myself sporadically confused with elementary terminology, especially when it comes to Convolutional Neural Networks, and I'...
- 101
-1
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1
answer
70
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Machine learning and Artificial intelligence algorithms in identifying and classifying Airplane parts
Airplane parts and functions
Can Machine Learning and Artificial intelligence Algorithms assist in identifying and classifying Airplane images parts?
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1
vote
1
answer
74
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Implementation of a convolution layer in a cnn
This questions deals with the implementation of a convolution layer. First I like to make clear what I understand about cnn's.
A cnn uses filters/kernels to find geometrical features from the input ...
- 11
1
vote
1
answer
71
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"Milder" than a convolutional neural network: not forcing connections to be perfectly equal or exactly zero, but penalizing such behavior
Convolutional neural networks (CNNs) do regularization (of sorts) by forcing some weights to be dropped and others to be zero. Borrowing some drawings from another post of mine...
Apply the filter to ...
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0
votes
0
answers
70
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How can I mathematically explain the convolutional neural network?
How can I give notations to the whole CNN network? Like, if I feed input 'x' to feature extractor, we will get the extracted feature embedding vector at the end that will be passed to the linear ...
0
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0
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63
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How can a cnn-lstm learn time-related aspects when these are gone by using a cnn in the first layers?
I recently learned about cnn-lstm architectures for time series, where the cnn part of the architecture acts as a feature-extractor. However, I struggle to grasp why there is still a 'time-related' ...
- 101
2
votes
1
answer
39
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How do I use non-image/signal dataset to do classification problem via Convolution Neural Network
I googled most of topics over the Internet, and Convolution Neural Network is prevailing to apply to image/pattern recognition. Perhaps, it is more easily to understand the concept of this methodology....
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What is the “web” drawing for a graph neural network?
It is common to draw a neural network as a "web" of neurons and connections, such as the "web" below of a multilayer perception that has input neurons in white, hidden neurons in ...
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