I'm working on training a model that classify models of vehicles so i want to know which architectures should i use
You can use a Deep neural network architecture (e.g Resnet, VGG, ...). If you don't have much data, you may consider using a pre-trained model.
A Deep Neural Network, Convolutional Neural Network (CNN). you can use it in WEKA software ,very easy and simple with accurate result
You can use Bayesian by Back-propagation Convolutional Neural Network or Bayesian Deep Convolutional Neural Network. I think, the developed programs are available in Python. If you need more information, please visit the following link. It could be very useful to you.
https://medium.com/neuralspace/bayesian-convolutional-neural-networks-with-bayes-by-backprop-c84dcaaf086e
- Badges
- Science topic
- Similar topics
- Data Mining
- Classification