Expanse Webinar: Introduction to Neural Networks, Convolution Neural Networks and Deep Learning on Expanse
Expanse Webinar: Introduction to Neural Networks, Convolution Neural Networks and Deep Learning on Expanse
Remote event
Deep learning neural networks have become a prominent tool in science and machine learning. This webinar will provide a short overview of the main concepts of neural networks and feature discovery. We will also demonstrate the basic convolution neural network for digit recognition using tensorflow and try to get an intuition about how the network performs and what defines deep learning in practice. We will also review some useful notes on running deep networks on Expanse, such as using tensorboard, notebooks, and batch jobs.
Instructor
Paul Rodriguez, Ph.D.
Research Analyst - SDSC
Paul 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 predictions in fMRI data. He has more recently been supporting HPC applications for diverse users in science and humanities, with emphasis on data mining and deep learning.
