## The Boltzmann machine

The neural network discussed in this post, called the Boltzmann machine, is a stochastic and recurrent network. This post contains my exam notes for the course TDT4270 Statistical image analysis and learning and explains...

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# Tagged: tdt4270

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The Boltzmann machine

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Hopfield network

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Pseudo-random numbers and sampling from probability distributions

The neural network discussed in this post, called the Boltzmann machine, is a stochastic and recurrent network. This post contains my exam notes for the course TDT4270 Statistical image analysis and learning and explains...

This neural network proposed by Hopfield in 1982 can be seen as a network with associative memory and can be used for different pattern recognition problems. This post contains my exam notes for the...

One often needs a source of random numbers for use in stochastic simulations. Since a computer is deterministic, it can’t generate real random numbers, unless one happen to have a quantum random generator at...