Hi Scikit reviewers, I have been working with scikit-learn for three pull requests - namely, Multi-layer Perceptron (MLP), Sparse Auto-encoders, and Gaussian Restricted Boltzmann Machines.
For the upcoming GSoC, I propose to ensure completing these three pull requests. I also would develop Greedy layer-wise training algorithm for deep learning, extending MLP to allow for more than one hidden layer, where weights are initialized using Sparse Auto-encoders or RBM. How will this suit for GSoC? I thank you earnestly in advance... Best Regards, --Issam ------------------------------------------------------------------------------ Managing the Performance of Cloud-Based Applications Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. Read the Whitepaper. http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
