How to use image input with Neural Network?
이전 댓글 표시
I'm new for neural network. I don't know how to train and test neural network with image processing. when I read image into matlab it will be matrix and I covert to gray and 2*2double matrix. If I have many image matrix to train. Should I have to concatenate every image matrix to one image matrix that will be same row but many column or Should I have to covert image matrix to one column per one image first and concatenate every column to one image matrix ?. How I have to do and what function to do that?
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추가 답변 (6개)
Noureldin Mohammed Zakaria
2017년 10월 20일
1 개 추천
How to input an image and let matlab to detecet it using neural network ?
Greg Heath
2013년 4월 1일
0 개 추천
input = [ D1(:) D2(:) D3(:) ]
Thank you for formally accepting my answer
Greg
Swati memane
2014년 2월 21일
0 개 추천
I am new to matlab..I want to know how to train the set of images using HMM.
subhra pattnaik
2015년 4월 15일
0 개 추천
Sir, actually I am working on blood vessel detection of reinal image given below using the paper attached with it.But I am using neural network toolbox and I don't know what input and target values should be taken so that segmentation of the image can be done.

Ankur Dutt
2015년 5월 9일
0 개 추천
Greg sir, I extracted features from 90X60 binary image. it is actually a column matrix of 54 elements. but i does not have neural network code for recognition of these segmented 90X60 images. so sir please can you provide me a neural network code that can recognize only 16 characters. sir i also attach a m-file of feature extraction. Thank You.
padmavathi vattikonda
2017년 1월 27일
0 개 추천
good morning sir, Present I am working on the neural networks, I want to know how image will give as input to neural networks and how can I process it. Thank you sir
댓글 수: 2
lamine lamine
2017년 5월 9일
hi have you find something .i have also start with neural network
kevin harianto
2022년 3월 28일
편집: kevin harianto
2022년 3월 28일
I cant seem to get my layered graph to compile into a DAG network. How did you do it? Assembly wont work as well as replacing a layer.
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