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David
David
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First I will give some context of my situation: 1- 

I madehave a simulation codelaser that will give the image I should observe inafter propagation is observed by a diagnostic in reality from certaincamera. Now the initial parameters of the laser will determine the pattern observed in the image taken by the camera. 2- I want to maketrain a neural networkNN that given thistakes as input the image can predictof the laser after propagation and is capable to output the 6 initial parameters needed to achieve itthat (in my case) cause the observed shape. 3- At firstAs training data, I will train it withhave already a lot of data done by the simulation that generates the pattern that should be observed for a set of initial parameters and thenalso some realexperimental data.

My problem is while I know some Tensorflow/keras already (like image classification), i am not sure how to go from an input image to an output vector with non-discrete values. Could anybody give me some indications or some references for similar cases ?

Sorry if it is a really simple question.

Thank you in advance.

I was thinking of instead of outputting a vector with values, to output an image with the values of each px representing each initial parameter value prediction. However, I think is probably much more complicated than a just doing the vector.

I searched on the internet and google scholar but couldn't find anything.

First I will give some context of my situation: 1- I made a simulation code that will give the image I should observe in a diagnostic in reality from certain initial parameters. 2- I want to make a neural network that given this image can predict the initial parameters needed to achieve it. 3- At first I will train it with a lot of data done by the simulation and then some real data.

My problem is while I know some Tensorflow/keras already (like image classification), i am not sure how to go from an input image to an output vector with non-discrete values. Could anybody give me some indications or some references for similar cases ?

Sorry if it is a really simple question.

Thank you in advance.

I was thinking of instead of outputting a vector with values, to output an image with the values of each px representing each initial parameter value prediction. However, I think is probably much more complicated than a just doing the vector.

I searched on the internet and google scholar but couldn't find anything.

First I will give some context of my situation: 

I have a laser that after propagation is observed by a camera. Now the initial parameters of the laser will determine the pattern observed in the image taken by the camera. I want to train a NN that takes as input the image of the laser after propagation and is capable to output the 6 initial parameters that (in my case) cause the observed shape. As training data, I have already a simulation that generates the pattern that should be observed for a set of initial parameters and also some experimental data.

My problem is while I know some Tensorflow/keras already (like image classification), i am not sure how to go from an input image to an output vector with non-discrete values. Could anybody give me some indications or some references for similar cases ?

Sorry if it is a really simple question.

Thank you in advance.

I was thinking of instead of outputting a vector with values, to output an image with the values of each px representing each initial parameter value prediction. However, I think is probably much more complicated than a just doing the vector.

I searched on the internet and google scholar but couldn't find anything.

Source Link
David
David
  • 1
  • 1

(Tensorflow) Parameter prediction from image

First I will give some context of my situation: 1- I made a simulation code that will give the image I should observe in a diagnostic in reality from certain initial parameters. 2- I want to make a neural network that given this image can predict the initial parameters needed to achieve it. 3- At first I will train it with a lot of data done by the simulation and then some real data.

My problem is while I know some Tensorflow/keras already (like image classification), i am not sure how to go from an input image to an output vector with non-discrete values. Could anybody give me some indications or some references for similar cases ?

Sorry if it is a really simple question.

Thank you in advance.

I was thinking of instead of outputting a vector with values, to output an image with the values of each px representing each initial parameter value prediction. However, I think is probably much more complicated than a just doing the vector.

I searched on the internet and google scholar but couldn't find anything.