python Overview of cross-entropy and related algorithms and implementation examples
Overview of cross-entropy
Cross Entropy is a concept commonly used in information theory and machine learning ...
確率・統計:Probability and Statistics
python python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
python Overview of softmax functions and related algorithms and implementation examples
Overview of Softmax Functions
A softmax function is a function used to convert a vector of real numbers in...
python Overview of Dirichlet distribution and related algorithms and implementation examples
Overview of Dirichlet distribution
The Dirichlet distribution (Dirichlet distribution) is a type of multiv...
python Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations
Overview of Gelman-Rubin Statistics
The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
幾何学:Geometry Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python Overview of Q-Learning and Examples of Algorithms and Implementations
Q-Learning
Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...
アルゴリズム:Algorithms Overview, Algorithm and Implementation of Gauss-Hermite Integral
Gaussian-Hermite Integration
Gaussian-Hermite Integration is a method of numerical integration, often used for ...
python Fermi Estimation Statistics and Artificial Intelligence Technology
Fermi Estimation with Statistics
Fermi estimation (Fermi estimation) is a method for making rough estimate...
アルゴリズム:Algorithms Overview of Kullback-Leibler variational estimation and various algorithms and implementations
Kullback-Leibler Variational Estimation
Kullback-Leibler Variational Estimation (Kullback-Leibler Variatio...