Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
Visit Stack Exchange
Stack Internal
Knowledge at work
Bring the best of human thought and AI automation together at your work.
Explore Stack InternalWhen you say "same shape" and "coincidence" I think at symbolic meaning. I'm not sure this is what you want but if it is so you can use CNN to extract symbolic features from different noised data.
Do you want to recognize the same object from different images, and you want to extract the key to recognize them in every different situation? Compression is a different task.
When you say "same shape" and "coincidence" I think at symbolic meaning. I'm not sure this is what you want but if it is so you can use CNN to extract symbolic features from different noised data. Do you want to recognize the same object from different images and you want to extract the key to recognize them in every different situation? Compression is a different task.
When you say "same shape" and "coincidence" I think at symbolic meaning. I'm not sure this is what you want but if it is so you can use CNN to extract symbolic features from different noised data.
Do you want to recognize the same object from different images, and to extract the key to recognize them in every different situation? Compression is a different task.
When you say "same shape" and "coincidence" I think at symbolic meaning. I'm not sure this is what you want but if it is so you can use CNN to extract symbolic features from different noised data. Do you want to recognize the same object from different images and you want to extract the key to recognize them in every different situation? Compression is a different task.
