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A dog vs. cat dataset consisting of 10,000 photos is used to train a two-layer fully connected
neural network that classifies photos as containing a dog or a cat. If each photo is 16 16 pixels
with 3 color channels, then there are units in the input layer. Suppose that there are 10 hidden
neurons. Then there are biases and weights in the neural network. Which activation function is
preferred for the output layer?

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