Update cgan.py
Interface Builder
ObservableCache
Identifiable
MultiplicativeArithmetic
allowPasswordInPlainText
displayToggleButton
visibility
id
-spark
-uos
-52
Appboy-iOS-SDK
@propertyWrapper
struct
conda
pip
GET
POST
HTTPRequest
HTTPRequester
/Applications/AlpacaChatCLI
/Applications/AlpacaChatApp.xcodeproj
Spring
Animator
Term
Clause
System
~/.zshrc
~/.zimrc
基于Jittor框架实现CGAN。CGAN的核心思路是将噪声与标签一起投入生成器,将真实图片与标签一起投入判别器,从而使生成器可以生成指定类别的图片。由于MLP与CNN都可以对图像信息进行提取,所以分别基于二者实现CGAN(基于CNN实现的CGAN也可以看作是DCGAN的变种)。实现的两种模型分别在MNIST与CIFAR10上进行训练和测试。
python 3.10.4
安装Jittor
# 检查python版本大于等于3.8 python --version conda install pywin32 python -m pip install jittor python -m jittor.test.test_core python -m jittor.test.test_example python -m jittor.test.test_cudnn_op
Copyright © 2022 Yiruuu.
A Jittor implementation of Conditional GAN (CGAN).
©Copyright 2023 CCF 开源发展委员会 Powered by Trustie& IntelliDE 京ICP备13000930号
A Jittor implementation of Conditional GAN (CGAN)
Interface Builder
ErrorObservableCache
Identifiable
managed objectsMultiplicativeArithmetic
allowPasswordInPlainText
displayToggleButton
visibility
Identifiable
protocol and set theid
property-spark
-uos
-52
(已停止支持)^o^Appboy-iOS-SDK
@propertyWrapper
?struct
conda
pip
GET
RequestPOST
RequestHTTPRequest
HTTPRequester
/Applications/AlpacaChatCLI
/Applications/AlpacaChatApp.xcodeproj
Spring
Animator
Term
Clause
System
~/.zshrc
~/.zimrc
🌈 概述
基于Jittor框架实现CGAN。CGAN的核心思路是将噪声与标签一起投入生成器,将真实图片与标签一起投入判别器,从而使生成器可以生成指定类别的图片。由于MLP与CNN都可以对图像信息进行提取,所以分别基于二者实现CGAN(基于CNN实现的CGAN也可以看作是DCGAN的变种)。实现的两种模型分别在MNIST与CIFAR10上进行训练和测试。
🔧 环境配置
python 3.10.4
安装Jittor
🔗 参考
Copyright © 2022 Yiruuu.