Comparing concepts of quantum and classical neural network models for image classification task.
Rafal PotempaSebastian PorebskiPublished in: CoRR (2021)
Keyphrases
- neural network model
- image classification
- neural network
- quantum computation
- artificial neural networks
- quantum mechanics
- neural models
- network architecture
- growing neural gas
- input variables
- multilayer perceptron
- rbf neural network
- bp neural network
- bag of words
- image representation
- image features
- feature extraction
- long term
- bayesian models
- quantum computing
- class specific
- decision trees
- image processing