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Tag Archive for neural-networks

Create association between informations

I deployed a project some days ago that allow to extract some medical articles using the results of a questionnaire completed by a user. For instance, if I reply on questionnaire I’m affected by Diabetes type 2 and I’m a smoker, my algorithm extracts all articles related to diabetes bubbling up all articles contains information about Diabetes type 2 and smoking. Basically we created a list of topic and, for every topic we define a kind of “guideline” that allows to extract and order informations for a user.

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?

Could one sample be enough for a perceptron training?

I need to compare a picture and decide whether or not it is similar to another one. In this case, I would like to use a simple perceptron that compares pixelmaps of both pictures. But I have only very basic understanding of neural networks and I am not sure whether this approach will work if there is only one source picture (to train it with). Anything I could do in this case?