Question: Question 2 (15 points) Saved You're tasked to build a fully connected network to classify all animals on images taken in a zoo. Here are
Question 2 (15 points) Saved You're tasked to build a fully connected network to classify all animals on images taken in a zoo. Here are some examples of images in your dataset: If there are elephants and alligators in the image, the modeletwork should classify the image as containing two classes: "elephant" and "alligator", no matter how many animals from each class there are. What is a good choice for the last activation of your neural network? Why is that? (Sigmoid, Tanh, ReLU, Softmax)
You're tasked to build a fully connected network to classify all animals on images taken in a zoo. Here are some examples of images in your dataset: If there are elephants and alligators in the image, the modeletwork should classify the image as containing two classes: "elephant" and "alligator", no matter how many animals from each class there are. What is a good choice for the last activation of your neural network? Why is that? (Sigmoid, Tanh, ReLU, Softmax)
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