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View mnist_prediction.py
from keras import models
from keras import layers
from keras.datasets import mnist
from keras.utils import to_categorical
import keras
print(keras.__version__)
(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
View iframe element.html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<script src="jquery.min.js"></script>
</head>
<body>
<iframe id="myFrame" style="height:180px;width:100%"></iframe>
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Randomized controlled trial
Randomization
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proportion
derivative
legitimate
frivolous
variance
subtlety
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