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sg7
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You need a program that learns and improves classification accuracy organically from experience.

I'll suggest deep learning, with deep learning this becomes a trivial problem.

You can retrain the inception v3 model on Tensorflow (:

https://www.tensorflow.org/tutorials/image_retrainingHow to Retrain Inception's Final Layer for New Categories).

In this case, you will be training a convolutional neural network to classify an object as either a coca-cola can or not.

You need a program that learns and improves classification accuracy organically from experience.

I'll suggest deep learning, with deep learning this becomes a trivial problem.

You can retrain the inception v3 model on Tensorflow (https://www.tensorflow.org/tutorials/image_retraining).

In this case, you will be training a convolutional neural network to classify an object as either a coca-cola can or not.

You need a program that learns and improves classification accuracy organically from experience.

I'll suggest deep learning, with deep learning this becomes a trivial problem.

You can retrain the inception v3 model on Tensorflow:

How to Retrain Inception's Final Layer for New Categories.

In this case, you will be training a convolutional neural network to classify an object as either a coca-cola can or not.

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Nuelsian
  • 521
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You need a program that learns and improves classification accuracy organically from experience.

I'll suggest deep learning, with deep learning this becomes a trivial problem.

You can retrain the inception v3 model on Tensorflow (https://www.tensorflow.org/tutorials/image_retraining).

In this case, you will be training a convolutional neural network to classify an object as either a coca-cola can or not.