Excellent Guillermo! I also wanted to play with the Mnist dataset. I will try your code
Alexandre -- _,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;: Alexandre Bergel http://www.bergel.eu ^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;._,.;:~^~:;. > On Mar 21, 2017, at 8:24 AM, Guillermo Polito <guillermopol...@gmail.com> > wrote: > > Hi Oleksandr, > > I'm working half-time on a team doing simulations of spiking neural networks > (on scala). Since the topic is "new" to me, I started following a MOOC on > traditional machine learning and putting some of my code in here: > > https://github.com/guillep/neural-experiments > <https://github.com/guillep/neural-experiments> > > Also, I wanted to experiment on hand-written characters with the Mnist > dataset (yann.lecun.com/exdb/mnist/ <http://yann.lecun.com/exdb/mnist/>) so I > wrote a reader for the IDX format to load the dataset. > > https://github.com/guillep/idx-reader <https://github.com/guillep/idx-reader> > > If you want I can take a look and we can discuss further :) > > Guille > > > On Tue, Mar 21, 2017 at 11:30 AM, Oleksandr Zaytsev <olk.zayt...@gmail.com > <mailto:olk.zayt...@gmail.com>> wrote: > I started by implementing some simple threshold neurons. The current goal is > a multilayer perceptron (similar to the one in scikit-learn), and maybe other > kinds of networks, such as self-organizing maps or radial basis networks. > > I could try to implement a deep learning algorithm, but the big issue with > them is time complexity. Probably, it would require the use of GPU, or some > advanced "tricks", so I should start with something smaller. > > Also, I want to try different kinds of design approaches, including those > that are not based on highly optimized vector algebra (I know that it might > not be the best idea, but I want try it and see what happens). For example, a > network, where each neuron is an object (normally the whole network is > represented as a collection of weight matrices). It might turn out to be very > slow, but more object-friendly. For now it's just an idea, but to try > something like that I would need a small network with 1-100 neurons. > > Yours sincerely, > Oleksandr >
