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Jun 30th, 2016
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  1. for x_test_batch in batches:
  2. batch_predictions = sess.run(predictions, {input_x: x_test_batch, dropout_keep_prob: 1.0})
  3. all_predictions = np.concatenate([all_predictions, batch_predictions])
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