Caffe Deep Learning Framework

Caffe Deep Learning Framework

Caffe Deep Learning Framework

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Caffe, just good for your first taste

4
Caffe was chosen by us, only for the experimental purposes of trying out some DL frameworks, as it is one of the earliest DL frameworks, …
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What is Caffe Deep Learning Framework?

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.

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What is Caffe Deep Learning Framework?

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.

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Reviews and Ratings

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Score 4 out of 10
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  • Caffe is good for traditional image-based CNN as this was its original purpose.
  • Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
  • Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
  • Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
  • The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.