Model selection and training of Generative Adversarial Networks(GAN) models are tricky and arise many questions: Which implementation of GAN should I use? : WGAN, WGAN with gradient penalty or consistency term or simply GAN without modification... What should be the architecture of my GAN? : # of layers, # of nodes in the hidden layers and … Continue reading A useful repository for AC-GAN experiments (with a single cell RNA expression dataset example)
Monty Hall is a popular game and also a great way to show the power of prior knowledge! The game is simple, There are 3 doors. There is a car in one door, while other doors have a goat behind. Gameplay: You pick a door The Host, who knows what's behind the doors, opens another … Continue reading Monte Carlo simulation for Monty Hall problem
Libsvm is one of the most popular and reliable libraries for creating supper vector machine models. Although the library is written in C++, many languages offer an interface to libsvm. In R, there is a package called e1071, which provides such an interface to create SVM classification and regression models. Besides an interface to the … Continue reading Using libsvm from R’s caret library
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