{"title":"深度学习的未来:挑战与解决方案","authors":"M. Robins","doi":"10.1145/3075564.3097267","DOIUrl":null,"url":null,"abstract":"Mark will begin with a brief overview of deep learning and what has led to its recent popularity. He will provide a few demonstrations and examples of deep learning applications based on recent work at Intel Nervana. He will explain some of the challenges to continued progress in deep learning - such as high compute requirements and lengthy training time - and will discuss some of the solutions (e.g. custom deep learning hardware) that Intel Nervana is developing to usher in a new era of even more powerful AI.","PeriodicalId":398898,"journal":{"name":"Proceedings of the Computing Frontiers Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Future of Deep Learning: Challenges & Solutions\",\"authors\":\"M. Robins\",\"doi\":\"10.1145/3075564.3097267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mark will begin with a brief overview of deep learning and what has led to its recent popularity. He will provide a few demonstrations and examples of deep learning applications based on recent work at Intel Nervana. He will explain some of the challenges to continued progress in deep learning - such as high compute requirements and lengthy training time - and will discuss some of the solutions (e.g. custom deep learning hardware) that Intel Nervana is developing to usher in a new era of even more powerful AI.\",\"PeriodicalId\":398898,\"journal\":{\"name\":\"Proceedings of the Computing Frontiers Conference\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Computing Frontiers Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3075564.3097267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Computing Frontiers Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3075564.3097267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Future of Deep Learning: Challenges & Solutions
Mark will begin with a brief overview of deep learning and what has led to its recent popularity. He will provide a few demonstrations and examples of deep learning applications based on recent work at Intel Nervana. He will explain some of the challenges to continued progress in deep learning - such as high compute requirements and lengthy training time - and will discuss some of the solutions (e.g. custom deep learning hardware) that Intel Nervana is developing to usher in a new era of even more powerful AI.