Hello everyone I am Prince Gupta, currently a 1st year Engineering student from India. I've been getting familiar with MLPack codebase, especially ANN and made some PRs since February 2020. I wanted to get some opinions on the GSOC project I've decided on. I apologize in advance if this email gets too long.
Earlier I discussed with @zoq about implementing YOLO for GSOC project but @kartikdutt18 was already working on it, so I decided to change my project idea as two people working on same thing will be redundant. For GSOC I would like to implement the following two applications of ANN: 1) Neural Style Transfer 2) Face Recognition To work on them I would also need to implement the following prerequisites which I hope to implement before the GSOC period starts: 1) VGG-19 Model for Neural Style Transfer 2) Triplet Margin Loss for Face Recognition(I've opened a PR on it already #2208) 3) Inception Network for Face Recognition If training is out of scope I'll try to use pre-trained weights. I would love to hear opinions on my project idea, is this sufficient? is this too much? other things I should consider or anything else. Project: Application of ANN Algorithms Implemented in mlpack Mentors: Marcus Edel, Sumedh Ghaisas, Shikhar Jaiswal, Saksham Bansal Thanks Prince Gupta Github ID: prince776
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