Welcome!

 

The main question we try to answer on this page is: 

statistical relationship between the features and the labels that can be represented by this data structure.

aaa

\sqrt{2.t}

 

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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