title: How to feed time series data into an autoencoder network for feature extraction?
body: <p>I am trying to create an autoencoder from scratch for my dataset. It is a variational autoencoder for feature extraction. I am pretty new to machine learning and I would like to know how to feed my input data to the autoencoder.</p>
  
  <p>My data is a time series data. It looks like below:</p>
  
  <pre><code>array([[[  10,   0,   10, ..., 10,   0,   0],
          ...,
  
          [  0,   12,   32, ...,  2,  2,  2]],
  
           [[ 0,  3,  7, ...,  7,  3,  0],
          .....
          [ 0,  2,  3, ...,  3,  4,  6]],
  
         [[1, 3, 1, ..., 0, 10, 2],
          ...,
  
          [2, 11, 12, ..., 1, 1, 8]]], dtype=int64)
  
  </code></pre>
  
  <p>It is a stack of arrays and the shape is (3, 1212, 700).
  And where do I pass the label?</p>
  
  <p>The examples online are simple and there is no detailed description as to how to feed the data in reality. Any examples or explanations will be highly helpful.</p>