Question: Python mnist = tf . keras.datasets.mnist ( x _ train, y _ train ) , ( x _ test, y _ test ) = mnist.load

Python
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test)= mnist.load_data()
1. If you have a DNN with the following layers:
1. Input layer with 784 units (e.g., for MNIST dataset), connected to a hidden layer with 128 units.
2. Hidden layer with 128 units, connected to an output layer with 10 units (for classification).
How many parameters are in this network?

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