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...
微分積分:Calculus
python 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 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...
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...
微分積分:Calculus Overview of the gradient method and examples of algorithms and implementations
Gradient Descent
The gradient method is one of the widely used methods in machine learning and optimization algo...
python Overview of Newton’s method and its algorithm and implementation
Newton's Method
Newton's method (Newton's method) is one of the iterative optimization algorithms for finding n...
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 ...
アルゴリズム:Algorithms 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...
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...
IOT技術:IOT Technology Overview and implementation of image recognition systems
Image Recognition System Overview
An image recognition system will be a technology in which a computer analy...