Articles in the permanent category


Categorical CrossEntropy Loss
Categorical CrossEntropy Loss Function, also known as Softmax Loss, is a loss function used in multiclass classification model training. It applies the Softmax Activation Function …

CrossEntropy
Crossentropy measures the average number of bits required to identify an event if you had a coding scheme optimised for one probability distribution $q …$

Information Entropy
Entropy is a measure of uncertainty of a random variable's possible outcomes.
It's highest when there are many equally likely outcomes. As you introduce more …


Softmax Activation Function
The Softmax Activation Function converts a vector of numbers into a vector of probabilities that sum to 1. It's applied to a model's outputs (or …

Sigmoid Function
The Sigmoid function, also known as the Logistic Function, squeezes numbers into a probabilitylike range between 0 and 1.^{1} Used in Binary Classification model …


Rule Enforcer
To prevent cheating, a game needs a rule enforcer.
"if players feel like your game can be cheated, some will try to cheat, but most …

Server Authoritative Multiplayer
A typical multiplayer game architecture where the server has authority over the game state. The server keeps track of players' positions, the resources they own …