This toolkit is designed to be used for super simple neural network use cases. It is not designed for any advanced AI applications but should be used as a starting point, evaluation or proof of ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...