Predicting Noisy Images - Shuffle the Data

In this step we will shuffle the training data.

  1. We define the random seed:

  2. Now we shuffle the training data:

    shuffle_index = np.random.permutation(60000)
    X_train, y_train = X_train[shuffle_index], << your code goes here >>[shuffle_index]

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