ºÝºÝߣshows by User: HagayLupesko / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: HagayLupesko / Sat, 21 Sep 2019 04:51:49 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: HagayLupesko AI Powered Personalization @ Scale - O'Reilly AI San Jose - Sep 2019 /slideshow/ai-powered-personalization-scale-oreilly-ai-san-jose-sep-2019/174458292 personalizationatscale-oriellysanjosesep2019-publicshare-190921045149
Hagay Lupesko explores AI-powered personalization at Facebook and the challenges and practical techniques it applied to overcome these challenges. You’ll learn about deep learning-based personalization modeling, scalable training, and the accompanying system design approaches that are applied in practice. This is the deck from Hagay Lupesko's talk at the O'Reilly AI San Jose conference from Sep 2019.]]>

Hagay Lupesko explores AI-powered personalization at Facebook and the challenges and practical techniques it applied to overcome these challenges. You’ll learn about deep learning-based personalization modeling, scalable training, and the accompanying system design approaches that are applied in practice. This is the deck from Hagay Lupesko's talk at the O'Reilly AI San Jose conference from Sep 2019.]]>
Sat, 21 Sep 2019 04:51:49 GMT /slideshow/ai-powered-personalization-scale-oreilly-ai-san-jose-sep-2019/174458292 HagayLupesko@slideshare.net(HagayLupesko) AI Powered Personalization @ Scale - O'Reilly AI San Jose - Sep 2019 HagayLupesko Hagay Lupesko explores AI-powered personalization at Facebook and the challenges and practical techniques it applied to overcome these challenges. You’ll learn about deep learning-based personalization modeling, scalable training, and the accompanying system design approaches that are applied in practice. This is the deck from Hagay Lupesko's talk at the O'Reilly AI San Jose conference from Sep 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/personalizationatscale-oriellysanjosesep2019-publicshare-190921045149-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Hagay Lupesko explores AI-powered personalization at Facebook and the challenges and practical techniques it applied to overcome these challenges. You’ll learn about deep learning-based personalization modeling, scalable training, and the accompanying system design approaches that are applied in practice. This is the deck from Hagay Lupesko&#39;s talk at the O&#39;Reilly AI San Jose conference from Sep 2019.
AI Powered Personalization @ Scale - O'Reilly AI San Jose - Sep 2019 from Hagay Lupesko
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Deep learning acceleration with Amazon Elastic Inference /slideshow/deep-learning-acceleration-with-amazon-elastic-inference/129198988 elasticinference-globalbigdataconferencejan242019-190125083606
Deep learning acceleration with Amazon Elastic Inference, talk from Global Big Data Conference in Santa Clara on Jan 24 2019.]]>

Deep learning acceleration with Amazon Elastic Inference, talk from Global Big Data Conference in Santa Clara on Jan 24 2019.]]>
Fri, 25 Jan 2019 08:36:06 GMT /slideshow/deep-learning-acceleration-with-amazon-elastic-inference/129198988 HagayLupesko@slideshare.net(HagayLupesko) Deep learning acceleration with Amazon Elastic Inference HagayLupesko Deep learning acceleration with Amazon Elastic Inference, talk from Global Big Data Conference in Santa Clara on Jan 24 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/elasticinference-globalbigdataconferencejan242019-190125083606-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep learning acceleration with Amazon Elastic Inference, talk from Global Big Data Conference in Santa Clara on Jan 24 2019.
Deep learning acceleration with Amazon Elastic Inference from Hagay Lupesko
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What is deep learning (and why you should care) - Talk at SJSU Oct 2018 /HagayLupesko/what-is-deep-learning-and-why-you-should-care-talk-at-sjsu-oct-2018 whatisdeeplearningandwhyyoushouldcare-sjsuoct2018-181026081807
ºÝºÝߣs from a talk we gave at SJSU in Oct 24 2018.]]>

ºÝºÝߣs from a talk we gave at SJSU in Oct 24 2018.]]>
Fri, 26 Oct 2018 08:18:07 GMT /HagayLupesko/what-is-deep-learning-and-why-you-should-care-talk-at-sjsu-oct-2018 HagayLupesko@slideshare.net(HagayLupesko) What is deep learning (and why you should care) - Talk at SJSU Oct 2018 HagayLupesko ºÝºÝߣs from a talk we gave at SJSU in Oct 24 2018. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whatisdeeplearningandwhyyoushouldcare-sjsuoct2018-181026081807-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs from a talk we gave at SJSU in Oct 24 2018.
What is deep learning (and why you should care) - Talk at SJSU Oct 2018 from Hagay Lupesko
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Emotion recognition in images: from idea to a model in production - Nordic DSML Summit - Oct 17 2018 /slideshow/emotion-recognition-in-images-from-idea-to-a-model-in-production-nordic-dsml-summit-oct-17-2018/119796637 facialexpressionrecognition-nordicdatasummit-oct152018-181017203448
The deck from my Hagay Lupesko's talk at Nordic DSML Summit Oct 2018 in Stockholm, Sweden.]]>

The deck from my Hagay Lupesko's talk at Nordic DSML Summit Oct 2018 in Stockholm, Sweden.]]>
Wed, 17 Oct 2018 20:34:48 GMT /slideshow/emotion-recognition-in-images-from-idea-to-a-model-in-production-nordic-dsml-summit-oct-17-2018/119796637 HagayLupesko@slideshare.net(HagayLupesko) Emotion recognition in images: from idea to a model in production - Nordic DSML Summit - Oct 17 2018 HagayLupesko The deck from my Hagay Lupesko's talk at Nordic DSML Summit Oct 2018 in Stockholm, Sweden. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/facialexpressionrecognition-nordicdatasummit-oct152018-181017203448-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The deck from my Hagay Lupesko&#39;s talk at Nordic DSML Summit Oct 2018 in Stockholm, Sweden.
Emotion recognition in images: from idea to a model in production - Nordic DSML Summit - Oct 17 2018 from Hagay Lupesko
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Deep learning systems model serving /slideshow/deep-learning-systems-model-serving/115682613 deeplearningsystems-modelserving-amazontechtalk-release-180921020215
Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges.]]>

Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges.]]>
Fri, 21 Sep 2018 02:02:14 GMT /slideshow/deep-learning-systems-model-serving/115682613 HagayLupesko@slideshare.net(HagayLupesko) Deep learning systems model serving HagayLupesko Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deeplearningsystems-modelserving-amazontechtalk-release-180921020215-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges.
Deep learning systems model serving from Hagay Lupesko
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Build, Train and Deploy ML Models using Amazon SageMaker /slideshow/build-train-and-deploy-ml-models-using-amazon-sagemaker/104849642 session1-usingamazonsagemakertobuildtrainanddeployyourmlmodels-release-180708183931
(presented in AWS ML Day in SF on June 2018) Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This presentation goes over key use cases and features of SageMaker, including a hands-on demo of using SageMaker and MXNet to build, train and deploy a neural network for sentiment analysis.]]>

(presented in AWS ML Day in SF on June 2018) Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This presentation goes over key use cases and features of SageMaker, including a hands-on demo of using SageMaker and MXNet to build, train and deploy a neural network for sentiment analysis.]]>
Sun, 08 Jul 2018 18:39:31 GMT /slideshow/build-train-and-deploy-ml-models-using-amazon-sagemaker/104849642 HagayLupesko@slideshare.net(HagayLupesko) Build, Train and Deploy ML Models using Amazon SageMaker HagayLupesko (presented in AWS ML Day in SF on June 2018) Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This presentation goes over key use cases and features of SageMaker, including a hands-on demo of using SageMaker and MXNet to build, train and deploy a neural network for sentiment analysis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/session1-usingamazonsagemakertobuildtrainanddeployyourmlmodels-release-180708183931-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> (presented in AWS ML Day in SF on June 2018) Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. This presentation goes over key use cases and features of SageMaker, including a hands-on demo of using SageMaker and MXNet to build, train and deploy a neural network for sentiment analysis.
Build, Train and Deploy ML Models using Amazon SageMaker from Hagay Lupesko
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ONNX - The Lingua Franca of Deep Learning /HagayLupesko/onnx-the-lingua-franca-of-deep-learning onnx-theaspiringlinguafrancaofdeeplearning-prepare-180708183229
(deck from my Prepare.AI talk in May 2018) ONNX is an open source format to encode deep learning models that is driven by industry leaders such as AWS, Facebook and Microsoft, and supported by a growing number of frameworks and platforms. With ONNX, deep learning practitioners gain model interoperability, which enables to pick and choose the framework and platform that is best suited for the task at hand. In this talk, I will dive into the ONNX format, explain the motivation, demo use cases, and discuss the roadmap.]]>

(deck from my Prepare.AI talk in May 2018) ONNX is an open source format to encode deep learning models that is driven by industry leaders such as AWS, Facebook and Microsoft, and supported by a growing number of frameworks and platforms. With ONNX, deep learning practitioners gain model interoperability, which enables to pick and choose the framework and platform that is best suited for the task at hand. In this talk, I will dive into the ONNX format, explain the motivation, demo use cases, and discuss the roadmap.]]>
Sun, 08 Jul 2018 18:32:29 GMT /HagayLupesko/onnx-the-lingua-franca-of-deep-learning HagayLupesko@slideshare.net(HagayLupesko) ONNX - The Lingua Franca of Deep Learning HagayLupesko (deck from my Prepare.AI talk in May 2018) ONNX is an open source format to encode deep learning models that is driven by industry leaders such as AWS, Facebook and Microsoft, and supported by a growing number of frameworks and platforms. With ONNX, deep learning practitioners gain model interoperability, which enables to pick and choose the framework and platform that is best suited for the task at hand. In this talk, I will dive into the ONNX format, explain the motivation, demo use cases, and discuss the roadmap. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/onnx-theaspiringlinguafrancaofdeeplearning-prepare-180708183229-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> (deck from my Prepare.AI talk in May 2018) ONNX is an open source format to encode deep learning models that is driven by industry leaders such as AWS, Facebook and Microsoft, and supported by a growing number of frameworks and platforms. With ONNX, deep learning practitioners gain model interoperability, which enables to pick and choose the framework and platform that is best suited for the task at hand. In this talk, I will dive into the ONNX format, explain the motivation, demo use cases, and discuss the roadmap.
ONNX - The Lingua Franca of Deep Learning from Hagay Lupesko
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