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UID:98099127-f80f-4f9e-832c-968b662a95b6@support.access-ci.org
DTSTAMP:20230131T134152Z
DTSTART:20230420T180000Z
DTEND:20230420T190000Z
SUMMARY:Expanse: Introduction to Neural Networks, Convolution Neural Networ
 ks and Deep Learning
DESCRIPTION:Deep learning neural networks have become a prominent tool in s
 cience and machine learning. This webinar will provide a brief overview of
  the main concepts of neural networks and feature discovery. We will also 
 demonstrate the basic convolution neural network for digit recognition usi
 ng TensorFlow and try to get an intuition about how the network performs a
 nd what defines deep learning in practice. We will also review some useful
  notes on running deep networks on HPCs, such as using tensorboard, notebo
 oks, and batch jobs. \n\nInstructor\nPaul Rodriguez\nComputational Data S
 cientist, SDSC\n\nPaul Rodriguez received his PhD in Cognitive Science at 
 University of California, San Diego (UCSD) in 1999. He spent several years
  doing research in neural network modeling, dynamical systems simulations,
  time series analysis, and statistical methods for analysis and prediction
 s in fMRI data. For the last several years he has been helping users from 
 a variety of domains with performing big data analytics, applying machine 
 learning models, implementing deep learning models, all in an HPC (High Pe
 rformance Computing) environment.
URL:https://support.access-ci.org/events/4327
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