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...
深層学習:Deep Learning
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...
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...
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...
Overview of SkipGANomaly, Algorithm and Example Implementation
Overview of SkipGANomaly
SkipGANomaly is a GAN-based method described in “Overview of GANs and Various Applic...
Information integration theory and its applications.
Information Integration Theory (IIT)
Information Integration Theory (IIT) is a theory proposed by psycholog...
BigGAN Overview, Algorithm and Implementation Examples
Overview of BigGAN
BigGAN is a GAN (Generative Adversarial Network) proposed by researchers at Google DeepMin...
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...
Python and Machine Learning (2) Deep Learning and Reinforcement Learning
Python and Machine Learning
Overview
Python will be a general-purpose programming language with many e...
DCGAN Overview, Algorithm and Implementation Examples
Overview of DCGAN
DCGAN is a type of Generative Adversarial Network (GAN), a deep learning model specialized ...