python Overview of the Natural Gradient Method and Examples of Algorithms and Implementations
Overview of Natural Gradient Method
Natural Gradient Descent is a type of Stochastic Gradient Descent (SGD) des...
最適化:Optimization
python python Riemannian optimisation algorithms and implementation examples
Riemannian optimisation
Riemannian Optimisation (Riemannian Optimisation) is an approach where the usual optimi...
python Overview of Stochastic Gradient Descent (SGD), its algorithms and examples of implementation
Overview of Stochastic Gradient Descent, SGD
Stochastic Gradient Descent (SGD) is one of the optimization algori...
python Overview of Hilbert Wand Transform, Algorithm and Implementation Examples
Overview of Hilbert Wand Conversion
The Hilbert transform is an operation widely used in the fields of signal p...
python Quasi-Newton Method
Overview of Quasi-Newton Method
The Quasi-Newton Method (Quasi-Newton Method) is one of the iterative methods f...
python Overview of Post-training Quantization and Examples of Algorithms and Implementations
Overview of Post-training Quantization
Post-training quantization is a method of quantizing a model after th...
python Overview of the Ornstein-Uhlenbeck process, its algorithm, and an example implementation
Overview of Ornstein-Uhlenbeck process
The Ornstein-Uhlenbeck process is a type of stochastic process that can ...
python Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method
Overview of Limited-memory Broyden–Fletcher–Goldfarb–Shanno（L-BFGS）method
The Limited-memory Broyden-Fletcher-G...
グラフ理論 What is information geometry?
What is the essence of information geometry?
Information geometry is a field that studies the geometrical struc...
アルゴリズム:Algorithms The vanishing gradient problem and its countermeasures
Overview of vanishing gradient problem
The Vanishing Gradient Problem is one of the problems that occurs mainly...