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eustin/letor-part-1-dense-dist-1.py

Created May 25, 2020 22:30
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letor-part-1-dense-dist-1.py
snoopy_vs_beagle = tf.sqrt(tf.reduce_sum(tf.square(embeddings[0] - embeddings[3])))
snoopy_vs_is = tf.sqrt(tf.reduce_sum(tf.square(embeddings[0] - embeddings[1])))
print(snoopy_vs_beagle.numpy())
print(snoopy_vs_is.numpy())
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