Re: [mlpack] Queries regarding GSoC

2018-02-28 Thread Marcus Edel
Hello Rajiv, > I did a bit of research and read a few papers related to CNNs. I found the > following to be very interesting: Yes, these are some really neat ideas, especially Spatial Transformer Networks would be a great addition. > For this, following improvements can also be done: 1. Adding

Re: [mlpack] Queries regarding GSoC

2018-02-13 Thread Marcus Edel
Hello Rajiv, > I initially had 3 topics of choice(in the previous mail), but after going > through the mailing list archive, mlpack blog and other links provided by > you, I > have decided to go ahead with "ESSENTIAL DEEP LEARNING MODULES". I like the > list > of suggested algorithms. I'll also

Re: [mlpack] Queries regarding GSoC

2018-02-02 Thread Marcus Edel
Hello Rajiv, Nice to hear from you again how are things going? > I am interested in the following topics(listed in the order of interest): > 1. Reinforcement Learning > 2. Essential Deep Learning Modules > 3. Particle Swarm Optimization > > How should I go about it? I read a few Mailing List

[mlpack] Queries regarding GSoC

2018-02-02 Thread Rajiv Vaidyanathan
Hi Marcus, I'm N Rajiv Vaidyanathan(github handle: rajiv2605). I have contributed to mlpack in the past and I really like this organisation. I am very interested in participating in GSoC. I am interested in the following topics(listed in the order of interest): 1. Reinforcement Learning 2.