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I have developed face recognition algorithms by using pre-built libraries in Python and open CV. However, suppose if i want to make my own neural network algorithm for face recognition, what are the procedures I need to follow?

I have just seen Andrew Ng's course videos.


Edit:

As Neil Slater asked me to clarify, I saw 70 of these videos:

https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN

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  • $\begingroup$ Please elaborate what do you mean by neural network algorithm. Do you mean the architecture, learning algorithm or the activity rule. It seems that you want to build an architecture, i guess. $\endgroup$ – naive Aug 18 at 6:21
  • $\begingroup$ Could you clarify - you have watched Andrew Ng's videos that are specifically about building a face recognition system? If you still have questions about building a face recognition system after watching those videos, then I think you need to ask some very specific questions about the parts of the problem that you still do not understand. If someone here were to give you an overview, it is unlikely that they would fill in gaps from the course material. So did you watch coursera.org/learn/convolutional-neural-networks/lecture/lUBYU/… and other 4 that follow? $\endgroup$ – Neil Slater Aug 18 at 6:55
  • $\begingroup$ @NeilSlater First i will thank you for providing me that link , i did not found even after searching lot on web . To answer you question , no i did'nt watched the videos you mentioned in link , i watched 70 of these videos -youtube.com/… $\endgroup$ – user28028 Aug 18 at 7:26
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My implementation to increase detection on video is using object tracking algoritms.First,I detect the object(using a trained classifier) then I track the object with KCF algorithm and if the object tracker miss the object again I call for classifier.I suggest it to you.

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