Timeline for How to extract the hidden vector (the output of the ReLU after the third encoder layer) as the image representation
Current License: CC BY-SA 4.0
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| when toggle format | what | by | license | comment | |
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| S Aug 11, 2025 at 10:05 | history | suggested | elechris | CC BY-SA 4.0 |
corrected spelling of MNIST
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| Aug 11, 2025 at 7:58 | review | Suggested edits | |||
| S Aug 11, 2025 at 10:05 | |||||
| Jun 3, 2021 at 5:48 | vote | accept | Sourodip Kundu | ||
| Jun 2, 2021 at 11:42 | answer | added | Kaveh | timeline score: 1 | |
| May 31, 2021 at 14:16 | comment | added | Sourodip Kundu | and if I want output from any intermediate layer like from a layer with 64 neurons then what to do | |
| May 31, 2021 at 13:56 | comment | added | Shubham Panchal |
You can use enc_outputs = classifier.encoder.predict( images ) where classifier is an instance of MNISTClassifier.
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| May 31, 2021 at 9:16 | history | edited | Sourodip Kundu | CC BY-SA 4.0 |
edited title
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| May 31, 2021 at 8:50 | history | asked | Sourodip Kundu | CC BY-SA 4.0 |