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Multi-class classification with MNIST.ipynb
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@johnleung8888
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how would I add to the dataset

(x_train, y_train),(x_test, y_test) = tf.keras.datasets.mnist.load_data()

In TensorFlow, it provide an efficient way for us to load and split the mnist dataset into training set, testing set, training labels and testing labels in just one code.

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