title: Neural network that learns patterns in very large matrices
body: <p>Suppose we have some large matrices that want to classify. </p>
  
  <p><img src="https://i.stack.imgur.com/YeGd5.png" alt="enter image description here"></p>
  
  <p>If matrices are M<em>N, is it OK to have a neural network with M</em>N neurons that is, for each element a neuron ? Is there any better idea? Actually, in my case, I have 50 matrices with 200 rows and 200 columns [ 200*200 ].
  {The elements of input matrices are 0 and 1 }
  Thank you in advance.</p>