際際滷shows by User: ceradam / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ceradam / Fri, 17 Dec 2021 15:17:25 GMT 際際滷Share feed for 際際滷shows by User: ceradam [PaperReview] LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation /slideshow/paperreview-lightgcn-simplifying-and-powering-graph-convolution-network-for-recommendation/250858054 lightgcn-211217151725
Paper Review of LightGCN]]>

Paper Review of LightGCN]]>
Fri, 17 Dec 2021 15:17:25 GMT /slideshow/paperreview-lightgcn-simplifying-and-powering-graph-convolution-network-for-recommendation/250858054 ceradam@slideshare.net(ceradam) [PaperReview] LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation ceradam Paper Review of LightGCN <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lightgcn-211217151725-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Paper Review of LightGCN
[PaperReview] LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation from Zimin Park
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Park zimin self_attention /slideshow/park-zimin-selfattention/205311848 parkziminselfattention-191213091025
Explanation of Self-Attention in Transformer Model]]>

Explanation of Self-Attention in Transformer Model]]>
Fri, 13 Dec 2019 09:10:25 GMT /slideshow/park-zimin-selfattention/205311848 ceradam@slideshare.net(ceradam) Park zimin self_attention ceradam Explanation of Self-Attention in Transformer Model <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/parkziminselfattention-191213091025-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Explanation of Self-Attention in Transformer Model
Park zimin self_attention from Zimin Park
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GPT : Generative Pre-Training Model /slideshow/gpt-generative-pretraining-model/205311424 gpt-191213090854
GPT 朱 覦 襭]]>

GPT 朱 覦 襭]]>
Fri, 13 Dec 2019 09:08:54 GMT /slideshow/gpt-generative-pretraining-model/205311424 ceradam@slideshare.net(ceradam) GPT : Generative Pre-Training Model ceradam GPT 朱 覦 襭 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/gpt-191213090854-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> GPT 朱 覦 襭
GPT : Generative Pre-Training Model from Zimin Park
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What we can do with Seoul Living Data? /slideshow/what-we-can-do-with-seoul-living-data/203407152 seoullivingdata-191209051235
What we can do with Seoul Living Data? 語 瑚規 一危磯 殊 覺. Folium れ襯 讌 螳襯 給. Code : https://github.com/ZiminPark/Seoul_living_data]]>

What we can do with Seoul Living Data? 語 瑚規 一危磯 殊 覺. Folium れ襯 讌 螳襯 給. Code : https://github.com/ZiminPark/Seoul_living_data]]>
Mon, 09 Dec 2019 05:12:35 GMT /slideshow/what-we-can-do-with-seoul-living-data/203407152 ceradam@slideshare.net(ceradam) What we can do with Seoul Living Data? ceradam What we can do with Seoul Living Data? 語 瑚規 一危磯 殊 覺. Folium れ襯 讌 螳襯 給. Code : https://github.com/ZiminPark/Seoul_living_data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/seoullivingdata-191209051235-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> What we can do with Seoul Living Data? 語 瑚規 一危磯 殊 覺. Folium れ襯 讌 螳襯 給. Code : https://github.com/ZiminPark/Seoul_living_data
What we can do with Seoul Living Data? from Zimin Park
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Session-based recommendations with recurrent neural networks /slideshow/sessionbased-recommendations-with-recurrent-neural-networks/199774866 session-basedrecommendationswithrecurrentneuralnetworks-191130115455
朱 襴觀 襭]]>

朱 襴觀 襭]]>
Sat, 30 Nov 2019 11:54:55 GMT /slideshow/sessionbased-recommendations-with-recurrent-neural-networks/199774866 ceradam@slideshare.net(ceradam) Session-based recommendations with recurrent neural networks ceradam 朱 襴觀 襭 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/session-basedrecommendationswithrecurrentneuralnetworks-191130115455-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 朱 襴觀 襭
Session-based recommendations with recurrent neural networks from Zimin Park
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https://public.slidesharecdn.com/v2/images/profile-picture.png https://cdn.slidesharecdn.com/ss_thumbnails/lightgcn-211217151725-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/paperreview-lightgcn-simplifying-and-powering-graph-convolution-network-for-recommendation/250858054 [PaperReview] LightGCN... https://cdn.slidesharecdn.com/ss_thumbnails/parkziminselfattention-191213091025-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/park-zimin-selfattention/205311848 Park zimin self_attention https://cdn.slidesharecdn.com/ss_thumbnails/gpt-191213090854-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/gpt-generative-pretraining-model/205311424 GPT : Generative Pre-T...