How to load pre-processed .txt data and use it for training convolutional networks?
I did not really feel clear on what you were trying to accomplish. But here is how you load the format you showed into a numpy array:

import numpy as np

# Read file from disk
with open('path/to/file.txt') as f:
    txt = f.read()

# Make a list of values in string format 
vals = txt.replace('{','').replace('}','').strip().split()

# Cast values to floats
vals = [np.float32(val) for val in vals]

# Store in numpy array
vals = np.array(vals)