code: def load_data():
      X, _ = datasets.fetch_openml(
          "mnist_784", version=1, return_X_y=True
      )
      X = (X / 255.0).astype(np.float32)
  
      np.random.shuffle(X)
      x_train, x_test = X[:60000], X[60000:]
  
      return x_train, x_test
  
imports: import numpy
  import matplotlib.pyplot
  from sklearn import datasets
  from neupy import algorithms, layers, utils
label_desc: Use image node_id 1 for calling a global function with example usage: load_data() and returns: x_train,  x_test