i am trying to do x ray project that checks if it is normal or PNEUMONIA, so i am stuck now in which neural network architecture will i choose for this model what i did until now
1- the data was in img folder i read the img and switch it to pixels and resize each image to 224x224 and each image will store in the csv in one record
2- i switch the output(Normal, PNEUMONIA) to 0 denote normal and 1 denote PNEUMONIA
3- i normalize the data
What choice options do you have? From what I see, you are only going to use dense layers in your network. If you experiment with a number of networks of different layers and if you train for long enough, you might get good results.
In the Tensorflow Developer professional specializations, they go through a similar example before introducing CNN; you might want to have a look at it.
you mean the output i just have two output: 0 for normal and 1 for PNEUMONIA. yeah bcs i finished the week 3 from the course 2 in the ml specialization and i got stuck and if you could could you provide to me the link that you mentioned it and thanks for replying
I don’t know exactly where that is now, but check in Coursera Tensorflow Developer Professional:
The simple way to get started is with reference to the “identify hand-written digits” exercise from the MLS course.
You have labeled images that only use two classifications.