深層学習:Deep Learning

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...
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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...
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Overview of SkipGANomaly, Algorithm and Example Implementation

Overview of SkipGANomaly SkipGANomaly is a GAN-based method described in “Overview of GANs and Various Applic...
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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...
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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...
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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...
python

DCGAN Overview, Algorithm and Implementation Examples

Overview of DCGAN DCGAN is a type of Generative Adversarial Network (GAN), a deep learning model specialized ...
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