Questions tagged [matrix]
A matrix is a collection of numbers arranged into a fixed number of rows and columns.
71 questions
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Estimating Final Vehicle Counts from Pairwise Marginals Using Python
I am working with vehicle registration data from website
. The website provides counts for various combinations of vehicle attributes such as Maker, RTO, Fuel, Category, SubCategory, and Emission.
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How can I measure the similarity between distance matrices during embedding training?
I am studying how the distances between embeddings evolve during training of a language model.
One way to describe this "evolution" is that the k-nearest neighbours of a particular embedding ...
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How to switch the rows/columns of a matrix table in Power BI so that the roll-up dates are in the columns
I've set up a tabular report using the Matrix visualization tool but I couldn't find a way to put the hierarchical datetime period variable into the columns. At the moment it's in the rows as shown ...
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Why does largest eigen value used for eigen vector calcuation?
Why is the largest eigenvalue used for eigenvector calculation?
What is the significance of using a largest absolute value for the whitening of a picture?
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What are the general rules or principles for finding matrix operations that are used as filters in convolutional neural networks?
Is there a set of rules or guidelines for designing filters for convolutional neural networks? For example, a 3 x 3 layer with ones in the first column, zeroes in the second, and negative ones in the ...
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Flattening before Fully-connected Layer (DENSE)
Can anyone explain why we need to flatten the data before inputting it into a fully-connected layer? What will happen if we input a matrix of size (m,n) into a fully-connected layer that has k ...
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Determining "filters" dimension after a convolution operation
I tried to calculate the "filtered" dimension and I seem to be getting it wrong.
Below there is the image I am trying to calculate the "filtered" dimension for, where you have 192 ...
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Is it possible to reverse the layers of a convolutional neural network?
From my understanding typically a convolutional neural network has a matrix (e.g. an image) as input and output is either an integer or a vector of integers in regression and in classification a ...
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Implementing eigen decomposition
Question
Please help understand why the eigen vectors do not match below. If there are misunderstandings or incorrect place, please correct too. It would be much appreciated.
Eigen decomposition
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Journals to publish a proof of a math result used for neural-network algorithms
I would like to know which journal is an appropriate outlet for the results described below.
I recently came across a particular neural-network training algorithm. The algorithm is based on a result ...
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How many matrix combinations is this? [closed]
Input Matrix:
A B C D E
A 1 - - - -
B - 1 - - -
C - - 1 - -
D - - - 1 -
E - - - - 1
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Plot a matrix as a single point in space
I have a dataset of drugs represented as a graph, each of which is described by three non-square matrices:
edge index (A), an 2xe matrix, where e are the bonds of the molecule, the first line ...
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How to calculate the distance matrix when there is a lot of data And the memory does not support it
I am dealing with a data matrix in which most of the variables are binary or multilevel response. I would like to perform the MDS algorithm and for that, I need to calculate the distance matrix first. ...
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Back propagation matrix shape error using Python
I wanna implement the back-propagation algorithm in python with the next code
...
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Converting images in a directory into a vector to calculate cosine distances?
I'm currently going through issues in terms of acquiring multiple images at once to convert them to a vector for calculating the cosine distance to get similarity between say an image from the ...
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