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...
確率・統計:Probability and Statistics
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...
Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
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...
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...
Fermi Estimation Statistics and Artificial Intelligence Technology
Fermi Estimation with Statistics
Fermi estimation (Fermi estimation) is a method for making rough estimate...
Overview, Algorithm and Implementation of Gauss-Hermite Integral
Gaussian-Hermite Integration
Gaussian-Hermite Integration is a method of numerical integration, often used for ...
An overview of maximum likelihood estimation and its algorithm and implementation
Maximum Likelihood Estimation
Maximum Likelihood Estimation (MLE) will be one of the estimation methods used in...
Overview of Kullback-Leibler variational estimation and various algorithms and implementations
Kullback-Leibler Variational Estimation
Kullback-Leibler Variational Estimation (Kullback-Leibler Variatio...
Overview and implementation of image recognition systems
Image Recognition System Overview
An image recognition system will be a technology in which a computer analy...