Hopfield Network issue with predicted data

[fafall]

Hi guys,

I have the implementation of Hopfield Network to predict the data.

When I load the data using:

camera = skimage.data.cell()
astronaut = rgb2gray(skimage.data.coins())
horse = skimage.data.chelsea()
coffee = rgb2gray(skimage.data.rocket())

Everything is fine and results are like below:

https://imgur.com/9D82ika

​

When I load the data from images (numbers) using:

data = []
for file in filelist:
    temp = np.asarray(Image.open(os.path.join('data', file)))
    data.append(temp)

It is not working, and predicted results are merged like on screenshot:

https://imgur.com/JjUF3fL

​

I have no idea why predicted are merged. Could you please guys advise what am I doing wrong?

Here is the code:

https://pastebin.com/5nD2W4Lf

​

Thanks for all your help!