Explain BACKPROPAGATION: Also, backprop. An algorithm for iteratively adjusting the weights used in a neural network system. Backpropagation is often used to implement gradient descent. See also neural network, gradient descent.
Different definitions in web development like backpropagation in Dictionary B.
- Manual Bias:
- Meaning “bias is a learner’s tendency to consistently learn the same wrong thing. Variance is the tendency to learn random things irrespective of the real signal.... It’s easy to avoid overfitting backpropagation definition.
- Manual Bayesian Network:
- Meaning “Bayesian networks are graphs that compactly represent the relationship between random variables for a given problem. These graphs aid in performing reasoning or decision making in the face of backpropagation explain.
- Manual Big Data:
- Meaning a popular marketing buzz phrase, definitions have proliferated, but in general, it refers to the ability to work with collections of data that had been impractical before because of their volume backpropagation what is.
- Manual Bayes' Theorem:
- Meaning Rule. An equation for calculating the probability that something is true if something potentially related to it is true. If P(A) means “the probability that A is true” and P(A|B) means “the backpropagation meaning.
- Manual Binomial Distribution:
- Meaning outcomes of independent events with two mutually exclusive possible outcomes, a fixed number of trials, and a constant probability of success. This is a discrete probability distribution, as opposed backpropagation abbreviation.
