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 ...
深層学習:Deep Learning
python 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...
python Overview of Few-Shot Learning, Algorithm and Implementation Examples
Overview
Few-Shot Learning is a technique aimed at correctly classifying or predicting new classes or...
python Overview of SkipGANomaly, Algorithm and Example Implementation
Overview of SkipGANomaly
SkipGANomaly is a GAN-based method described in “Overview of GANs and Various Applic...
python Information integration theory and its applications.
Information Integration Theory (IIT)
Information Integration Theory (IIT) is a theory proposed by psycholog...
python BigGAN Overview, Algorithm and Implementation Examples
Overview of BigGAN
BigGAN is a GAN (Generative Adversarial Network) proposed by researchers at Google DeepMin...
python Overview of SNGAN (Spectral Normalization GAN), algorithms and implementation examples
Overview of SNGAN (Spectral Normalization GAN)
SNGAN (Spectral Normalization GAN) is a method that introduces...