The MNIST dataset has a training set of 60,000 examples and a test set of 10,000 examples of the handwritten digits. Each example is a 28 x 28-pixel monochrome image.
This sample shows the use of low-level APIs and tf.estimator.Estimator to build a simple
convolution neural network classifier, and how we can use
vai_p_tensorflow to prune it.