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Prediction or testing process of a single sample image in a siamese network
2019 Community Moderator ElectionPybrain recurrent network for regression - how to properly kickstart trained network for predictionsSiamese Network with RGB imagesHow to convert an arbitrary dataset to the siamese network dataset format in caffe?Training a Siamese Network with Caffehow to save, restore, make predictions with siamese network (with triplet loss)PyTorch : predict single exampleImages feeding to deep neural networkValueError when trying to reconfigure Siamese network trained on triplets to operate on pairsKeras: regression with Siamese network?Neural network has <0.001 validation and testing loss but 0% accuracy when doing a prediction
I have basic knowledge of how to train a siamese network. But I am confused about the prediction/testing process.
Here is what i think how it works:
There are two output nodes one is for similarity and another one is for dissimilarit.
After training the network, if want to predict a single image without knowing the label, i will feed the image paired an image from each class of the dataset and take the one with the highest similary node output. (Closest to 1)
.
Please let me know if i am thinking correctly or explain me the correct way.
If i am thinking correctly let me know if there is an efficient way to do this.
machine-learning deep-learning
edited 21 mins ago
desertnaut
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
add a comment |
I have basic knowledge of how to train a siamese network. But I am confused about the prediction/testing process.
Here is what i think how it works:
There are two output nodes one is for similarity and another one is for dissimilarit.
After training the network, if want to predict a single image without knowing the label, i will feed the image paired an image from each class of the dataset and take the one with the highest similary node output. (Closest to 1)
.
Please let me know if i am thinking correctly or explain me the correct way.
If i am thinking correctly let me know if there is an efficient way to do this.
machine-learning deep-learning
edited 21 mins ago
desertnaut
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago
add a comment |
I have basic knowledge of how to train a siamese network. But I am confused about the prediction/testing process.
Here is what i think how it works:
There are two output nodes one is for similarity and another one is for dissimilarit.
After training the network, if want to predict a single image without knowing the label, i will feed the image paired an image from each class of the dataset and take the one with the highest similary node output. (Closest to 1)
.
Please let me know if i am thinking correctly or explain me the correct way.
If i am thinking correctly let me know if there is an efficient way to do this.
machine-learning deep-learning
edited 21 mins ago
desertnaut
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
I have basic knowledge of how to train a siamese network. But I am confused about the prediction/testing process.
Here is what i think how it works:
There are two output nodes one is for similarity and another one is for dissimilarit.
After training the network, if want to predict a single image without knowing the label, i will feed the image paired an image from each class of the dataset and take the one with the highest similary node output. (Closest to 1)
.
Please let me know if i am thinking correctly or explain me the correct way.
If i am thinking correctly let me know if there is an efficient way to do this.
machine-learning deep-learning
machine-learning deep-learning
edited 21 mins ago
desertnaut
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
edited 21 mins ago
desertnaut
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
edited 21 mins ago
desertnaut
18.8k73875
edited 21 mins ago
desertnaut
18.8k73875
edited 21 mins ago
desertnaut
18.8k73875
18.8k73875
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
asked 30 mins ago
Istiaq AnsariIstiaq Ansari
1
1
Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago
add a comment |
Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago
Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago
Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago
add a comment |
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Welcome to SO; please share what you have tried so far (as is, your question is rather broad) - see How to create a Minimal, Complete, and Verifiable example.
– desertnaut
20 mins ago