October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Defining a loss function in our MNIST example
Since we have a basic binary classification task of, recognizing digits, we're going to utilize cross entropy as our loss function. We can easily implement it with a built-in function in TensorFlow:
loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(network_output, y))
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