#scienceofdeeplearning 検索結果
Deep learning brings new challenges to statistical learning theory. This was a common theme in NAS’s meeting on the #ScienceOfDeepLearning. Understanding generalization, the behavior of the optimization algorithms & expressivity seems to be the current focus of theorists.
Prof. Regina Barzilay of MIT talks about a variety of applications of deep learning in chemistry including property predcition and optimization for drug discovery. #ScienceOfDeepLearning #DeepLearningInScience
In the NAS meeting, NSF directors announced that Data Science is at the center of their funding activities and encouraged researchers in data science, AI and Deep Learning to apply for TRIPODS and other funding opportunities. #datascience #NSF #ScienceOfDeepLearning
AI systems capable of learning continuously (predict and learn simultaneously) & that we can ‘trust’ seem to be the current concern of funding agencies such as DARPA and IARPA. What will be the new technologies & methods making real-time learning possible? #ScienceOfDeepLearning
#ScienceOfDeepLearning @ NAS was such a great event covering the core of today’s research in deep learning & future opportunities/funding. Thank you David Donoho and other organizers for bringing practitioners and theorists together to address real challenges in AI and ML.
I am a huge fan of this paper of Srebro's that discusses different regimes of neural network training and the transition between a mode where it is like a kernel methods and a mode where it is quite different. arxiv.org/pdf/1906.05827… #scienceOfDeepLearning
The videos of the lectures at NAS’s Sackler event ‘Science of Deep Learning’ is now available on YouTube: youtube.com/user/SacklerCo… #DeepLearning #pnas #ScienceOfDeepLearning #MCEP #DataScience #BigData #AI #NSF #DARPA #IARPA #NAS #TheoriesOfDeepLearning
Looking forward to attending this 2-day colloquia at the National Academy of Sciences (@theNASciences) March 13th & 14th: The Science of #DeepLearning cvent.com/events/the-sci… #ScienceOfDeepLearning #ScienceOfDL
Off to DC for a two day intensive #DeepLearning conference. Looking forward to hearing all the great talks and debates scheduled by NAS members: cvent.com/m-events/Info/…. #ScienceOfDeepLearning #stats385 #MCEP #machinelearning #DataScience #PyTorch #Theory #PNAS #mathematics #stat
I am a huge fan of this paper of Srebro's that discusses different regimes of neural network training and the transition between a mode where it is like a kernel methods and a mode where it is quite different. arxiv.org/pdf/1906.05827… #scienceOfDeepLearning
The videos of the lectures at NAS’s Sackler event ‘Science of Deep Learning’ is now available on YouTube: youtube.com/user/SacklerCo… #DeepLearning #pnas #ScienceOfDeepLearning #MCEP #DataScience #BigData #AI #NSF #DARPA #IARPA #NAS #TheoriesOfDeepLearning
AI systems capable of learning continuously (predict and learn simultaneously) & that we can ‘trust’ seem to be the current concern of funding agencies such as DARPA and IARPA. What will be the new technologies & methods making real-time learning possible? #ScienceOfDeepLearning
#ScienceOfDeepLearning @ NAS was such a great event covering the core of today’s research in deep learning & future opportunities/funding. Thank you David Donoho and other organizers for bringing practitioners and theorists together to address real challenges in AI and ML.
In the NAS meeting, NSF directors announced that Data Science is at the center of their funding activities and encouraged researchers in data science, AI and Deep Learning to apply for TRIPODS and other funding opportunities. #datascience #NSF #ScienceOfDeepLearning
Deep learning brings new challenges to statistical learning theory. This was a common theme in NAS’s meeting on the #ScienceOfDeepLearning. Understanding generalization, the behavior of the optimization algorithms & expressivity seems to be the current focus of theorists.
Prof. Regina Barzilay of MIT talks about a variety of applications of deep learning in chemistry including property predcition and optimization for drug discovery. #ScienceOfDeepLearning #DeepLearningInScience
Off to DC for a two day intensive #DeepLearning conference. Looking forward to hearing all the great talks and debates scheduled by NAS members: cvent.com/m-events/Info/…. #ScienceOfDeepLearning #stats385 #MCEP #machinelearning #DataScience #PyTorch #Theory #PNAS #mathematics #stat
Looking forward to attending this 2-day colloquia at the National Academy of Sciences (@theNASciences) March 13th & 14th: The Science of #DeepLearning cvent.com/events/the-sci… #ScienceOfDeepLearning #ScienceOfDL
In the NAS meeting, NSF directors announced that Data Science is at the center of their funding activities and encouraged researchers in data science, AI and Deep Learning to apply for TRIPODS and other funding opportunities. #datascience #NSF #ScienceOfDeepLearning
Prof. Regina Barzilay of MIT talks about a variety of applications of deep learning in chemistry including property predcition and optimization for drug discovery. #ScienceOfDeepLearning #DeepLearningInScience
Deep learning brings new challenges to statistical learning theory. This was a common theme in NAS’s meeting on the #ScienceOfDeepLearning. Understanding generalization, the behavior of the optimization algorithms & expressivity seems to be the current focus of theorists.
AI systems capable of learning continuously (predict and learn simultaneously) & that we can ‘trust’ seem to be the current concern of funding agencies such as DARPA and IARPA. What will be the new technologies & methods making real-time learning possible? #ScienceOfDeepLearning
#ScienceOfDeepLearning @ NAS was such a great event covering the core of today’s research in deep learning & future opportunities/funding. Thank you David Donoho and other organizers for bringing practitioners and theorists together to address real challenges in AI and ML.
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