python Overview of One-Shot Learning, Algorithm and Implementation Examples
Overview
One-shot learning is a learning approach designed for situations where only one training exa...
深層学習:Deep Learning
python Symbolic Logic Considerations for making agents behave intelligently
How to make agents behave intelligently
In this article, we consider how to make agents behave intelligent...
python Overview of Zero-Shot Learning, Algorithm and Implementation Examples
Overview
Zero-Shot Learning (ZSL) is a machine learning approach that enables models to classify or m...
python Machine learning and MoE (Mixture of Experts) on sparse and dense data
Machine learning with sparse and dense data
When applying deep learning to datasets that contain both...
python About Residual Coupling
Overview of Residual Coupling
Residual Connection (Residual Connection) is one of the methods for directly tran...
python Overview of personalised ranking and examples of algorithms and implementations.
Overview of personalised ranking.
Personalised ranking is a method of ranking that provides items in the most ...
python OpenPose Overview, Algorithm and Implementation Examples
Overview of OpenPose
OpenPose is a real-time human posture detection library developed by Carnegie Mellon Uni...
python Overview of neural ranking models, algorithms and implementation examples.
Overview of neural ranking models
Neural ranking models are a type of machine learning model used in search en...
python Overview of ECO (Efficient Convolution Network for Online Video Understanding), its algorithms and implementation examples
Overview of ECO(Efficient Convolution Network for Online Video Understanding)
Efficient Convolutional Network...
python Overview of PSPNet (Pyramid Scene Parsing Network), algorithms and implementation examples
Overview of PSPNet(Pyramid Scene Parsing Network)
PSPNet (Pyramid Scene Parsing Network) is a deep learning m...