Glossary

Delve into Bayesian probability, an interpretation encapsulating quantifiable uncertainty or knowledge state, used to analyze unknown propositions’ truth or falsity.

Batch Normalization is a technique for improving the speed, performance, and stability during the training of artificial neural networks. It standardizes the inputs to each layer, aiding deep learning.

A Behavior Tree is an effective tool commonly used in game development and robotics programming. It constitutes a hierarchical model that facilitates the design and implementation of decision-making processes within Artificial Intelligence (AI). It comprises various nodes, each symbolizing either an action or condition, with the conditions precisely determining the execution of the specified actions.

Backpropagation plays an essential role in training artificial neural networks, where it minimizes the loss function by optimally adjusting weights and biases.

An innovative blend of computer science and behavioral studies, Behavior Informatics explores behavioral data to provide insightful analysis into patterns and trends.

Backpropagation Through Time (Bptt) is employed for efficient RNN training. It extends traditional backpropagation, integrating temporal data sequences for optimized performance.