{"595481":{"#nid":"595481","#data":{"type":"event","title":"ML@GT Seminar Series Wednesday Sep 6 2017, 12:30 pm - 1:30 pm  Location: Marcus Nanotechnology Building, Room 1118","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;In this talk, you will get an exposure to the various types of deep learning frameworks\u0026nbsp;\u0026ndash; declarative and imperative frameworks such as TensorFlow and PyTorch. After a broad\u0026nbsp;overview of frameworks, you will be introduced to the PyTorch framework in more detail. We\u0026nbsp;will discuss your perspective as a researcher and a user, formalizing the needs of research\u0026nbsp;workflows (covering data pre-processing and loading, model building, etc.). Then, we shall see\u0026nbsp;how the different features of PyTorch map to helping you with these workflows.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u003Csup\u003E__________________________\u003C\/sup\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u003C\/strong\u003E\u0026nbsp;Soumith Chintala is a Researcher at Facebook AI Research, where he works on deep\u0026nbsp;learning, reinforcement learning, generative image models, agents for video games and large-scale high-performance deep learning.\u0026nbsp;With over\u0026nbsp;500 commits,\u0026nbsp;Soumith is also one of the\u0026nbsp;primary developers\u0026nbsp;of the popular open-source PyTorch framework for deep learning.\u0026nbsp;Prior to joining Facebook in August 2014, he worked at MuseAmi, where he built deep learning\u0026nbsp;models for music and vision targeted at mobile devices. He holds a Masters in CS from NYU, and\u0026nbsp;spent time in Yann LeCun\u0026rsquo;s NYU lab building deep learning models for pedestrian detection,\u0026nbsp;natural image OCR, and\u0026nbsp;depth-images among others.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Soumith Chintala: An Overview of Deep Learning Frameworks  and an Introduction to PyTorch"}],"uid":"34471","created_gmt":"2017-09-05 15:08:52","changed_gmt":"2017-09-05 15:16:39","author":"Kyla J. Reese","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2017-09-06T13:30:00-04:00","event_time_end":"2017-09-06T14:30:00-04:00","event_time_end_last":"2017-09-06T14:30:00-04:00","gmt_time_start":"2017-09-06 17:30:00","gmt_time_end":"2017-09-06 18:30:00","gmt_time_end_last":"2017-09-06 18:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"589608","name":"Machine Learning"},{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[{"id":"173894","name":"ML@GT"},{"id":"173895","name":"Machine Learning Seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}