python 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...
人工知能:Artificial Intelligence
python python 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 ...
アルゴリズム:Algorithms 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...
python Overview of Drift-detection-based Inverse Reinforcement Learning and examples of algorithms and implementations
Overview of Drift-based Inverse Reinforcement Learning
Drift-detection-based Inverse Reinforcement Learning...
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...
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...
アルゴリズム:Algorithms Overview of the EdgeBoxes algorithm and examples of implementations.
EdgeBoxes algorithm.
The EdgeBoxes algorithm is one of the candidate region suggestion methods for object det...