SlideShare a Scribd company logo
1 of 75
Download to read offline
👌
"
GAN
GAN
GAN
GAN
🙆
GAN
GAN
GAN
GAN
GAN
DCGAN
DCGAN
GAN -> DCGAN
arXiv:1511.06434
NN
NN
CNN
CNN
CNN
CNN
CNN
CNN
DCGAN
DCGAN
Generator
arXiv:1511.06434
Generator
arXiv:1511.06434
Generator


Generator


Generator
dumoulin/conv_arithmetic
Generator
Generator
Generator
Generator
Generator
Generator
Generator
Generator
Generator
Generator


Generator
Generator
arXiv:1502.03167
Generator


Generator
DCGAN
Discriminator
arXiv:1511.06434
Discriminator
arXiv:1511.06434
Discriminator
Discriminator
Discriminator
dumoulin/conv_arithmetic
Discriminator
Discriminator
Discriminator
Discriminator
Discriminator
Discriminator
Discriminator
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
DCGAN
. Deep Learning―Python
, 2016
! PyTorch ,
2019
Goodfellow, Ian, et al. Generative adversarial nets., Advances in neural
information processing systems. 2014
Radford, Alec, Luke Metz, Soumith Chintala. Unsupervised representation
learning with deep convolutional generative adversarial networks., arXiv
preprint, arXiv:1511.06434. 2015
Thank you!
Thank you!
CS231n Winter 2016: Lecture 13: Segmentation, soft attention,
spatial transformers
https://youtu.be/ByjaPdWXKJ4
PyTorch documentation
https://pytorch.org/docs/

More Related Content

What's hot

What's hot (20)

[DL輪読会]Wasserstein GAN/Towards Principled Methods for Training Generative Adv...
[DL輪読会]Wasserstein GAN/Towards Principled Methods for Training Generative Adv...[DL輪読会]Wasserstein GAN/Towards Principled Methods for Training Generative Adv...
[DL輪読会]Wasserstein GAN/Towards Principled Methods for Training Generative Adv...
 
【DL輪読会】High-Resolution Image Synthesis with Latent Diffusion Models
【DL輪読会】High-Resolution Image Synthesis with Latent Diffusion Models【DL輪読会】High-Resolution Image Synthesis with Latent Diffusion Models
【DL輪読会】High-Resolution Image Synthesis with Latent Diffusion Models
 
StyleGAN解説 CVPR2019読み会@DeNA
StyleGAN解説 CVPR2019読み会@DeNAStyleGAN解説 CVPR2019読み会@DeNA
StyleGAN解説 CVPR2019読み会@DeNA
 
論文紹介 Pixel Recurrent Neural Networks
論文紹介 Pixel Recurrent Neural Networks論文紹介 Pixel Recurrent Neural Networks
論文紹介 Pixel Recurrent Neural Networks
 
[DL輪読会]Transframer: Arbitrary Frame Prediction with Generative Models
[DL輪読会]Transframer: Arbitrary Frame Prediction with Generative Models[DL輪読会]Transframer: Arbitrary Frame Prediction with Generative Models
[DL輪読会]Transframer: Arbitrary Frame Prediction with Generative Models
 
生成モデルの Deep Learning
生成モデルの Deep Learning生成モデルの Deep Learning
生成モデルの Deep Learning
 
【DL輪読会】Foundation Models for Decision Making: Problems, Methods, and Opportun...
【DL輪読会】Foundation Models for Decision Making: Problems, Methods, and Opportun...【DL輪読会】Foundation Models for Decision Making: Problems, Methods, and Opportun...
【DL輪読会】Foundation Models for Decision Making: Problems, Methods, and Opportun...
 
SSII2021 [OS2-02] 深層学習におけるデータ拡張の原理と最新動向
SSII2021 [OS2-02] 深層学習におけるデータ拡張の原理と最新動向SSII2021 [OS2-02] 深層学習におけるデータ拡張の原理と最新動向
SSII2021 [OS2-02] 深層学習におけるデータ拡張の原理と最新動向
 
SSII2020 [OS2-02] 教師あり事前学習を凌駕する「弱」教師あり事前学習
SSII2020 [OS2-02] 教師あり事前学習を凌駕する「弱」教師あり事前学習SSII2020 [OS2-02] 教師あり事前学習を凌駕する「弱」教師あり事前学習
SSII2020 [OS2-02] 教師あり事前学習を凌駕する「弱」教師あり事前学習
 
強化学習と逆強化学習を組み合わせた模倣学習
強化学習と逆強化学習を組み合わせた模倣学習強化学習と逆強化学習を組み合わせた模倣学習
強化学習と逆強化学習を組み合わせた模倣学習
 
[DL輪読会]相互情報量最大化による表現学習
[DL輪読会]相互情報量最大化による表現学習[DL輪読会]相互情報量最大化による表現学習
[DL輪読会]相互情報量最大化による表現学習
 
「世界モデル」と関連研究について
「世界モデル」と関連研究について「世界モデル」と関連研究について
「世界モデル」と関連研究について
 
【DL輪読会】The Forward-Forward Algorithm: Some Preliminary
【DL輪読会】The Forward-Forward Algorithm: Some Preliminary【DL輪読会】The Forward-Forward Algorithm: Some Preliminary
【DL輪読会】The Forward-Forward Algorithm: Some Preliminary
 
Deep Learningによる超解像の進歩
Deep Learningによる超解像の進歩Deep Learningによる超解像の進歩
Deep Learningによる超解像の進歩
 
Transformerを雰囲気で理解する
Transformerを雰囲気で理解するTransformerを雰囲気で理解する
Transformerを雰囲気で理解する
 
【メタサーベイ】数式ドリブン教師あり学習
【メタサーベイ】数式ドリブン教師あり学習【メタサーベイ】数式ドリブン教師あり学習
【メタサーベイ】数式ドリブン教師あり学習
 
LSTM (Long short-term memory) 概要
LSTM (Long short-term memory) 概要LSTM (Long short-term memory) 概要
LSTM (Long short-term memory) 概要
 
【論文調査】XAI技術の効能を ユーザ実験で評価する研究
【論文調査】XAI技術の効能を ユーザ実験で評価する研究【論文調査】XAI技術の効能を ユーザ実験で評価する研究
【論文調査】XAI技術の効能を ユーザ実験で評価する研究
 
[DL輪読会]Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
[DL輪読会]Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets[DL輪読会]Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
[DL輪読会]Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
 
深層学習の数理
深層学習の数理深層学習の数理
深層学習の数理
 

More from Hirosaji

More from Hirosaji (7)

絵を読む技術 Pythonによるイラスト解析
絵を読む技術 Pythonによるイラスト解析絵を読む技術 Pythonによるイラスト解析
絵を読む技術 Pythonによるイラスト解析
 
メディアが運用すべき持続可能なVTuberをつくる技術
メディアが運用すべき持続可能なVTuberをつくる技術メディアが運用すべき持続可能なVTuberをつくる技術
メディアが運用すべき持続可能なVTuberをつくる技術
 
Google I/O 2019 出張報告(for Webメディア)
Google I/O 2019 出張報告(for Webメディア)Google I/O 2019 出張報告(for Webメディア)
Google I/O 2019 出張報告(for Webメディア)
 
芳文社 聖地巡礼マップ「ドキドキ☆ビジュアルMAP」を作ってみた。
芳文社 聖地巡礼マップ「ドキドキ☆ビジュアルMAP」を作ってみた。芳文社 聖地巡礼マップ「ドキドキ☆ビジュアルMAP」を作ってみた。
芳文社 聖地巡礼マップ「ドキドキ☆ビジュアルMAP」を作ってみた。
 
はじめてのVRゲーム / How To Start VR Game
はじめてのVRゲーム / How To Start VR GameはじめてのVRゲーム / How To Start VR Game
はじめてのVRゲーム / How To Start VR Game
 
地図と認知プロセス -人間は地図を使って認知地図を獲得できるか-
地図と認知プロセス -人間は地図を使って認知地図を獲得できるか-地図と認知プロセス -人間は地図を使って認知地図を獲得できるか-
地図と認知プロセス -人間は地図を使って認知地図を獲得できるか-
 
Development of Recipe Recommendation System using Physiological Index
Development of Recipe Recommendation System using Physiological IndexDevelopment of Recipe Recommendation System using Physiological Index
Development of Recipe Recommendation System using Physiological Index
 

Recently uploaded

Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Choreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software EngineeringChoreo: Empowering the Future of Enterprise Software Engineering
Choreo: Empowering the Future of Enterprise Software Engineering
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data PlatformLess Is More: Utilizing Ballerina to Architect a Cloud Data Platform
Less Is More: Utilizing Ballerina to Architect a Cloud Data Platform
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
 
API Governance and Monetization - The evolution of API governance
API Governance and Monetization -  The evolution of API governanceAPI Governance and Monetization -  The evolution of API governance
API Governance and Monetization - The evolution of API governance
 
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
 
Navigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern EnterpriseNavigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern Enterprise
 

GANの概要とDCGANのアーキテクチャ/アルゴリズム