<blockquote>
  <ol>
  <li>Use Convolution2D layers and LSTM layer</li>
  </ol>
</blockquote>

<p>In this technique, you stack convolution and LSTM layers. The convolutional layers help you to learn the spatial features and the LSTM helps you learn the correlation in time.</p>

<blockquote>
  <p>2.Use ConvLSTM2D</p>
</blockquote>

<p>ConvLSTM is a LSTM in which the gates (input to state and state to state transitions) are convolution operations.<br>
Research paper- <a href="https://arxiv.org/abs/1506.04214" rel="nofollow noreferrer">Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting</a> </p>

<p><a href="https://stackoverflow.com/questions/49468918/appplication-of-convlstm2d-layers/49472074#49472074">More about ConvLSTM in this SO answer</a></p>
Convolution2D + LSTM versus ConvLSTM2D
<p>Are <code>1</code> and <code>2</code> the same?</p>

<ol>
<li>Use <code>Convolution2D</code> layers and <code>LSTM</code> layers </li>
<li>Use <code>ConvLSTM2D</code></li>
</ol>

<p>If there is any difference, could you explain it for me?</p>