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...
プログラミング言語:Programming Language
python python Overview of proposal networks and examples of algorithms and implementation
Proposal network overview
A proposal network is a type of neural network used mainly in computer vision and i...
python Bidirectional LSTM Overview, Algorithm and Implementation Examples
Overview of Bidirectional LSTM
Bidirectional LSTM (Long Short-Term Memory) is a type of recurrent neural n...
python Overview of TTM (Tensor-Train Matrix) and examples of algorithms and implementations.
Overview of TTM (Tensor-Train Matrix)
Tensor-Train Matrix (TTM) is a unique representation form of tensor, an ...
python Overview of Feature-based Inverse Reinforcement Learning and examples of algorithms and implementations.
Overview of Feature-based Inverse Reinforcement Learning
Feature-based Inverse Reinforcement Learning (Feat...
javascript Visualization of Graphic Data Using Sigma.js
Visualization of Graphic Data Using Sigma.js
Sigma.js is a web-based graph visualization library that c...
python Overview of HOOI (High-Order Orthogonal Iteration) and examples of algorithms and implementations.
Overview of HOOI (High-Order Orthogonal Iteration)
High-Order Orthogonal Iteration (HOOI) can be one of the me...
python Overview of TD learning and examples of algorithms and implementations.
Overview of TD learning
TD (Temporal Difference) learning is a type of Reinforcement Learning, a method for...
python Overview of the Girvan-Newman Algorithm and Examples of Implementations
Overview of Girvan-Newman Algorithm
The Girvan-Newman algorithm is an algorithm for detecting the communit...
python Overview of OpenNMT and examples of algorithms and implementations.
Overview of OpenNMT
OpenNMT (Open-Source Neural Machine Translation) is an open source platform for neural...