Transcendental Functions and AI — Why Generative AI Has Begun to Move Beyond Finite Rules
There exists a class of important functions in physics and probability theory known as transcendental functions.
These ...
数学:Mathematics
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...
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...
Graphical data analysis that takes into account changes over time using a time prediction model
Graphical data analysis that takes into account changes over time using a time prediction model
Graph data...
Overview of CP (CANDECOMP/PARAFAC) Decomposition, Algorithm and Example Implementation
CP (CANDECOMP/PARAFAC) Decomposition Overview
CP decomposition (CANDECOMP/PARAFAC) is a type of tensor decompo...
Overview of Dynamic Graph Neural Networks (D-GNN) and examples of algorithms and implementations
Dynamic Graph Neural Networks（D-GNN）
Dynamic Graph Neural Networks (D-GNNs) are a type of graph neural n...
Overview of Non-Negative Tensor Factorization (NTF), its algorithm and examples of implementation
Non-Negative Tensor Factorization (NTF) Overview
Non-Negative Tensor Factorization (NTF) is a method for obtai...
Hesse Matrices and Regularity
Overview of Hessian matrix
A Hessian matrix is a matrix representation of the second-order partial derivatives ...
The Turing Test, Searle’s Refutation and Artificial Intelligence
The Turing Test and Searle's Response to it
One test for determining that a machine is intelligent is th...
Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...