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I tried to use code below to plot confusion matrix:
print('Final test accuracy = %.1f%% (N=%d)' % (test_accuracy * 100, len(test_bottlenecks))) confusion = tf.confusion_matrix(labels=test_ground_truth, predictions=predictions, num_classes=class_count) confusion_matrix_np = sess.run(confusion, feed_dict={bottleneck_input: test_bottlenecks, ground_truth_input: test_ground_truth})
But it doesn't work. How can I plot confusion matrix?
The text was updated successfully, but these errors were encountered:
Hi, Did you find how to to plot confusion matrix for this model ? if so, please be kind enough to share it with me.
Sorry, something went wrong.
I tried to use code below to plot confusion matrix: print('Final test accuracy = %.1f%% (N=%d)' % (test_accuracy * 100, len(test_bottlenecks))) confusion = tf.confusion_matrix(labels=test_ground_truth, predictions=predictions, num_classes=class_count) confusion_matrix_np = sess.run(confusion, feed_dict={bottleneck_input: test_bottlenecks, ground_truth_input: test_ground_truth}) But it doesn't work. How can I plot confusion matrix?
Hi zerenkin, Did you find how to to plot confusion matrix for this model ? if so, please be kind enough to share it with me.
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I tried to use code below to plot confusion matrix:
print('Final test accuracy = %.1f%% (N=%d)' % (test_accuracy * 100, len(test_bottlenecks)))
confusion = tf.confusion_matrix(labels=test_ground_truth, predictions=predictions, num_classes=class_count)
confusion_matrix_np = sess.run(confusion, feed_dict={bottleneck_input: test_bottlenecks, ground_truth_input: test_ground_truth})
But it doesn't work.
How can I plot confusion matrix?
The text was updated successfully, but these errors were encountered: