Continuous random variables are variables with an infinite range of possible values, as opposed to discrete variables with defined ranges.| DeepAI
Probability Theory describes probabilities in terms of a probability space, typically assigning a value between 0 and 1, known as the probability measure, and a set of outcomes known as the sample space.| DeepAI
A Probability Distribution is the sum of the probabilities of the events occurring. There are two distinct types of probability distributions, continuous and discrete.| DeepAI
An artificial neural network learning algorithm, or neural network, or just neural net, is a computational learning system that uses a network of functions to understand and translate a data input of one form into a desired output, usually in another form.| DeepAI
Probability in deep learning is used to mimic human common sense by allowing a machine to interpret phenomena that it has no frame of reference for.| DeepAI
A field of computer science that aims to teach computers how to learn and act without being explicitly programmed.| DeepAI