How to modify sesssion.run to get the all predicted 0~9 labels in TensorFlow's cifar10 example?
I am learning CIFAR-10 from https://www.tensorflow.org/tutorials/images/deep_cnn,
source code for tf.nn: https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/
How to get the all predict result(0~9 label precision) from cifar10_input_test.py (after run predictions = sess.run([top_k_op]))?
Reference: How can I test own image to Cifar-10 tutorial on Tensorflow? => I can slowly get all the predict result lists from the code(sess.run([logits [0]])) by one by one image... I will get all the tag lists (sess.run([logits])) from the code very quickly, but it is the random probability lists ... need to know how to get the correct probability list quickly?
python tensorflow
asked Nov 18 '18 at 8:59
WenChungWenChung
13
add a comment |
I am learning CIFAR-10 from https://www.tensorflow.org/tutorials/images/deep_cnn,
source code for tf.nn: https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/
How to get the all predict result(0~9 label precision) from cifar10_input_test.py (after run predictions = sess.run([top_k_op]))?
Reference: How can I test own image to Cifar-10 tutorial on Tensorflow? => I can slowly get all the predict result lists from the code(sess.run([logits [0]])) by one by one image... I will get all the tag lists (sess.run([logits])) from the code very quickly, but it is the random probability lists ... need to know how to get the correct probability list quickly?
python tensorflow
asked Nov 18 '18 at 8:59
WenChungWenChung
13
add a comment |
I am learning CIFAR-10 from https://www.tensorflow.org/tutorials/images/deep_cnn,
source code for tf.nn: https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/
How to get the all predict result(0~9 label precision) from cifar10_input_test.py (after run predictions = sess.run([top_k_op]))?
Reference: How can I test own image to Cifar-10 tutorial on Tensorflow? => I can slowly get all the predict result lists from the code(sess.run([logits [0]])) by one by one image... I will get all the tag lists (sess.run([logits])) from the code very quickly, but it is the random probability lists ... need to know how to get the correct probability list quickly?
python tensorflow
asked Nov 18 '18 at 8:59
WenChungWenChung
13
I am learning CIFAR-10 from https://www.tensorflow.org/tutorials/images/deep_cnn,
source code for tf.nn: https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/
How to get the all predict result(0~9 label precision) from cifar10_input_test.py (after run predictions = sess.run([top_k_op]))?
Reference: How can I test own image to Cifar-10 tutorial on Tensorflow? => I can slowly get all the predict result lists from the code(sess.run([logits [0]])) by one by one image... I will get all the tag lists (sess.run([logits])) from the code very quickly, but it is the random probability lists ... need to know how to get the correct probability list quickly?
python tensorflow
python tensorflow
asked Nov 18 '18 at 8:59
WenChungWenChung
13
asked Nov 18 '18 at 8:59
WenChungWenChung
13
edited Nov 20 '18 at 3:15
WenChung
asked Nov 18 '18 at 8:59
WenChungWenChung
13
asked Nov 18 '18 at 8:59
WenChungWenChung
13
asked Nov 18 '18 at 8:59
WenChungWenChung
13
13
add a comment |
add a comment |
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