Suppose that you are provided with two binary sequences {0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1} and {0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0}. Which one is more likely to be generated by tossing a coin (i.e. a Bernoulli process with 0.5 probability of event occurrence)? Continue reading Sampling and common sense

# Scaling of noise in neural networks

To be more precise, you can encounter this effect in case when you have to sum up noisy values. The fundamental rule is Continue reading Scaling of noise in neural networks

# Animated fractal

Following up previous post, I've decided to add some motion. Continue reading Animated fractal

# Generating fractal-like images

In this post I'll describe an algorithm that builds images similar to this one: Continue reading Generating fractal-like images

# Deviation of mean

Few days ago while conducting some experiments in Octave, I've noticed a weird behaviour. For array containing several equal elements mean value was significantly different from actual value of each of them... Continue reading Deviation of mean