Bidirectional RNN（BRNN）
Overview of Bidirectional RNN（BRNN）
Bidirectional Recurrent Neural Network (BRNN) is a type of recurrent n...
2024-07
Overview of the Frobenius norm and examples of algorithms and implementations
Overview of the Frobenius norm.
The Frobenius norm is a type of matrix norm and will be defined as the...
Overview of Kronecker-factored Approximate Curvature (K-FAC) matrix and related algorithms and implementation examples
Overview of Kronecker-factored Approximate Curvature（K-FAC）
Kronecker-factored Approximate Curvature (K-FAC) is...
Mucha, Art Nouveau, Mingei and Art Deco
Alphonse Mucha
The Alphonse Mucha exhibition is being held at the Chigasaki Art Museum.
Alphonse Mucha...
Simulation hypotheses and classical and non-classical logic
simulation hypothesis
In THE UNIVERSE IN A BOX, the 'simulation hypothesis' describes the possibility that ever...
Overview of Trust Region Policy Optimization (TRPO), its algorithms and example implementations
Overview of Trust Region Policy Optimization (TRPO)
Trust Region Policy Optimization (TRPO) is a reinforcem...
Application and Implementation Examples of Directed Acyclic Graphs and Blockchain Technology
Introduction
Directed Acyclic Graph (DAG) is a graph data algorithm that appears in various situations such...
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...
Overview of GRUs and examples of algorithms and implementations
Overview of GRU（Gated Recurrent Unit）
GRUs (Gated Recurrent Units) are a type of recurrent neural network ...
Overview of NUTS and examples of algorithms and implementations
Overview of NUTS
NUTS (No-U-Turn Sampler) is a type of Hamiltonian Monte Carlo (HMC) method as described i...