Articles by Jakub Glinka's Blog

Training Neural Networks with MXNet

February 20, 2017 | Jakub Glinka's Blog

Multilayer perceptron Multilayer perceptron (MLP) is the simplest feed-forward neural network. It mitigates the constraints of original perceptron that was able to learn only linearly separable patterns from the data. It achieves this by introducing at least one hidden layer in order to learn representation of the data that would ... [Read more...]

Sampling from shifted Gompertz distribution

December 29, 2016 | Jakub Glinka's Blog

using Accept-Reject method - Shifted Gompertz distribution Shifted Gompertz distribution is useful distribution which can be used to describe time needed for adopting new innovation within the market. Recent studies showed that it outperforms Bass model of diffusion in some cases1. Its pdf is given by Below we show what ... [Read more...]

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