title: keras TypeError: 'int' object is not iterable
body: <p>I imported the dataset with the code below.</p>
  
  <pre><code>dataset_csv = np.loadtxt('/home/user/Downloads/dataset.csv', delimiter=',')
  
  
  x_train=dataset_csv[:3000000,0:3]
  y_train=dataset_csv[:3000000,3]
  x_test=dataset_csv[3000000:,0:3]
  y_test=dataset_csv[3000000:,3]
  </code></pre>
  
  <p>The total data set is 3193739.</p>
  
  <p>Each dataset has the following form.
  (value1 ,value2,value3, class)</p>
  
  <p>I tried to insert data by setting the input layer as follows.</p>
  
  <pre><code>model =Sequential()
  model.add(Dense(128, input_shape=3, activation='relu'))
  </code></pre>
  
  <p>However, the following error occurred.</p>
  
  <blockquote>
    <p>TypeError: 'int' object is not iterable</p>
  </blockquote>
  
  <p>I'm wondering why you can not read integer types and how you can make a dataset readable.</p>