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This is the home of the Neural Networks and Information Extraction space.

To help you on your way, we've inserted some of our favourite macros on this home page. As you start creating pages, blogging and commenting you'll see the macros below fill up with all the activity in your space.

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Code Block
themeConfluence
languagepython
import numpy as np 
import matplotlib.pyplot as plt 

from keras.models import Sequential 
from keras.layers import Dense, Activation 
from keras.optimizers import SGD
 
 X= np.zeros([N, Dx])  
    Labels=np.zeros([N, Cy]) # neural network takes the indicators instead of Y  
      
    for i in range(N):  
        X[i, :]=M[:, Y[i]]  
        Labels[i, Y[i]]=1  
      
    X=X+ np.random.normal(0, .5, X.shape)
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