title: Introduction part in Deep Learning with Keras using Python
body: <p>Instruction of questions:</p>
  <ol>
  <li>Instantiate a Sequential model.</li>
  <li>Add a Dense layer of 50 neurons with an input shape of 1 neuron.</li>
  <li>Add two Dense layers of 50 neurons each and 'relu' activation.</li>
  <li>End your model with a Dense layer with a single neuron and no activation.</li>
  </ol>
  <p>Below is my code:</p>
  <pre><code># Instantiate a Sequential model
  model = Sequential()
  
  # Add a Dense layer with 50 neurons and an input of 1 neuron
  model.add(Dense(50, input_shape=(2,), activation='relu'))
  
  # Add two Dense layers with 50 neurons and relu activation
  model.add(Dense(____,____=____))
  model.____
  
  # End your model with a Dense layer and no activation
  model.____
  </code></pre>
  <p>I am confused about the part</p>
  <pre><code>model.add(Dense(____,____=____))
  </code></pre>