About Deep RNN
Overview of Deep RNN
Deep RNN (Deep Recurrent Neural Network) is a type of recurrent neural network (RNN),...
Overview of the Fisher Information Matrix and Related Algorithms and Examples of Implementations
Overview of Fisher Information Matrix
The Fisher information matrix, a concept used in statistics and informati...
Konnyaku and chilli
konnyaku(solidified jelly made from the rhizome of devil's tongue )
"On the Roads of Shu and Yunnan" mentions kon...
Breathing (Zen and its relationship to cognitive activity and sport).
Introduction
Breathing is the only organ in the internal organs that can be consciously changed, and various phra...
Overview of Double Q-Learning and Examples of Algorithms and Implementations
Over view of Double Q-Learning
Double Q-Learning is a type of Q-Learning described in "Overview of Q-Learni...
Overview of counterfactual virtual learning using graph neural networks, related algorithms and implementation examples.
Overview of counterfactual virtual learning using graph neural networks.
Counterfactual learning (counterf...
Bidirectional RNN（BRNN）
Overview of Bidirectional RNN（BRNN）
Bidirectional Recurrent Neural Network (BRNN) is a type of recurrent n...
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...