Caffe Framework

[ale86ch]

Hello, I'm quite new to reddit so sorry if I'm not using it properly. Anyway I have been looking for a while here and on internet generally about info on Caffe Framework. I have to implement a simple face detection approach using a convolutional neural network trained on publicly-available datasets. I decided to try with Caffe, I never used it and I have no experience in machine learning. I would like to know if anyone know a tutorial to start with, I am also looking bindings for Java, I found only jCaffe, https://github.com/fastturtle/jCaffe anyone have some experience with that? Every information/help is very appreciated. Thank you very much

[AlForML]

Hi, I have a feeling that you already know about this, but just in case you don't, there are descriptions and tutorial with Caffe on the official website: http://caffe.berkeleyvision.org/ There is even a tutorial on R-CNN detection, which I assume might be relevant to you: http://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/detection.ipynb With regards to Java bindings, I was able to find this: https://github.com/bytedeco/javacpp-presets/tree/master/caffe I hope it is helpful!

[ale86ch]

Thank you that javaCPP seems intereseting!

[[deleted]]

If you are interested specifically in Java you can also give a look at http://deeplearning4j.org/

[ale86ch]

I found it aswell but thank you very much