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iam currently learn about deeplearning with pytorch and keras. iam interested to create automatic ecg digitization from recorded paper.
well, iam not pretty sure, but the best algorithm to do this are through Convolutional Neural Network with U-Net algorithm? but i think U-Net limitations are the input image should be square (width, height are same) and ecg usually a strip of long line...
any suggestion?
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Assuming that I have an excel sheet with three columns of data and one column of label. Can I use all three columns of data to train a neural network to predict the label?
Definitely. Here is a sketch of such a neural network:
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Is it doable to update my trained model (fbprophet) in order to surpass the dilemma of retraining the whole dataset every time?
Thanks for your help in Advance
I found a solution using the warm-start approach, here.
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I want to plot similar Graph in python. it is basically binary classifiers accuracy report of benign and malicious/attack dataset. there is one benign file and 10 attack files. each attack is combined with the benign file and three classifiers are used to perform classification. the question is how to plot it in python. here is the example image
classifiers accuracy on with each attack and benign data
I got the solution and it is very simple.
i stored each model accuracy with all attacks in simple array
store name of each attack in array x
and accuracy with array y1,y2,y3
this blog help me to plot the results
https://www.w3resource.com/graphics/matplotlib/basic/matplotlib-basic-exercise-5.php
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I'm preparing my dataset to be preprocessed before training with CNN model but i couldn't generate data from this type of file which contain several signals.
I recommend using the gdflib library. It'll allow you to process your .gdf files by organizing your data into nodes for further processing.
It would also help if you could please provide a minimal reproducible example of what you have tried.
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I am working on pattern recognition program using R/python. What would be the best way to compare two or more figures and identify/recognize the similar or duplicate figures based on pattern recognition?
There are lots of papers on the internet, we can try to get the idea how to extract and process feature in a fingerprint. For instance, http://www.cse.unr.edu/~bebis/CS790Q/PaperPresentations/MinutiaeDetection.pdf
Then you can use whatever classifier you want such as support vector machine.
If you need more idea you can visit http://dermatoglyphics.org/11-basic-patterns-of-fingerprint/ to generalize