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State-of-the-Art Deep Learning Models in TensorFlow最新文献

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Generative Adversarial Networks 生成对抗网络
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 2021-08-31 DOI: 10.1007/978-1-4842-7341-8_10
David Paper
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引用次数: 0
Convolutional and Variational Autoencoders 卷积和变分自编码器
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_9
D. Paper
{"title":"Convolutional and Variational Autoencoders","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_9","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_9","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fast Style Transfer 快速风格转换
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_12
D. Paper
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引用次数: 0
An Introduction to Reinforcement Learning 强化学习导论
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.4018/978-1-60960-165-2.CH004
E. Morales, Julio H. Zaragoza
{"title":"An Introduction to Reinforcement Learning","authors":"E. Morales, Julio H. Zaragoza","doi":"10.4018/978-1-60960-165-2.CH004","DOIUrl":"https://doi.org/10.4018/978-1-60960-165-2.CH004","url":null,"abstract":"This chapter provides a concise introduction to Reinforcement Learning (RL) from a machine learning perspective. It provides the required background to understand the chapters related to RL in this book. It makes no assumption on previous knowledge in this research area and includes short descriptions of some of the latest trends, which are normally excluded from other introductions or overviews on RL. The chapter provides more emphasis on the general conceptual framework and ideas of RL rather than on presenting a rigorous mathematical discussion that may require a great deal of effort by the reader. The first section provides a general introduction to the area. The following section describes the most common solution techniques. In the third section, some of the most recent techniques proposed to deal with large search spaces are described. Finally, the last section provides some final remarks and current research challenges in RL.","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127528556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Deep Learning with TensorFlow Datasets 使用TensorFlow数据集进行深度学习
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_4
D. Paper
{"title":"Deep Learning with TensorFlow Datasets","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_4","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_4","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"246 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simple Transfer Learning with TensorFlow Hub 简单的迁移学习与TensorFlow枢纽
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_6
D. Paper
{"title":"Simple Transfer Learning with TensorFlow Hub","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_6","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_6","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134338936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem TensorFlow中最先进的深度学习模型:谷歌Colab生态系统中的现代机器学习
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8
D. Paper
{"title":"State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133688192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
TensorFlow Datasets TensorFlow数据集
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_3
D. Paper
{"title":"TensorFlow Datasets","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_3","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_3","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Advanced Transfer Learning 高级迁移学习
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_7
D. Paper
{"title":"Advanced Transfer Learning","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_7","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_7","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128830713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Progressive Growing Generative Adversarial Networks 渐进式生成对抗网络
State-of-the-Art Deep Learning Models in TensorFlow Pub Date : 1900-01-01 DOI: 10.1007/978-1-4842-7341-8_11
D. Paper
{"title":"Progressive Growing Generative Adversarial Networks","authors":"D. Paper","doi":"10.1007/978-1-4842-7341-8_11","DOIUrl":"https://doi.org/10.1007/978-1-4842-7341-8_11","url":null,"abstract":"","PeriodicalId":239198,"journal":{"name":"State-of-the-Art Deep Learning Models in TensorFlow","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126740906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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