python Overview of the trace norm and related algorithms and implementation examples
Trace norm overview
The trace norm (or nuclear norm) is a type of matrix norm, which can be defined as...
確率・統計:Probability and Statistics
python python Overview of Bayesian Neural Networks and Examples of Algorithms and Implementations
Bayesian Neural Networks
Bayesian neural networks (BNNs) are architectures that integrate probabilistic el...
アルゴリズム:Algorithms Overview of Group Regularization with Duplicates and Examples of Implementations
Overview
Overlapping group regularization (Overlapping Group Lasso) is a type of regularization method...
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 ...
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...