Foundations of Deep Learning with PyTorch

Wed, Feb 26, 2020, 4:30 pm to 6:30 pm
Location: 
138 Lewis Science Library
Speaker(s): 
Sponsor(s): 
Princeton Institute for Computational Science and Engineering (PICSciE) and the Center for Statistics and Machine Learning (CSML)

Of the many deep learning frameworks, PyTorch has largely emerged as the first choice for researchers. This workshop will show participants how to implement and train common network architectures in PyTorch. Special topics will be included as time permits. Participants should have some knowledge of Python, NumPy and deep learning theory. Bring a laptop if you would like to do the hands-on exercises and go over the installation instructions. Alternatively, you can use Binder or Google Colab to run the notebooks in the cloud. Feel free to arrive at the end of the workshop for one-on-one discussions with Alf about advanced PyTorch topics and the direction of the framework. Also, you can follow up on Twitter using the handle @alfcnz

Speaker: Alfredo Canziani is an Assistant Professor of Computer Science and a Deep Learning Research Scientist at NYU Courant, Institute of Mathematical Sciences, in the research group of AI pioneer Yann LeCun. Alf contributes and works directly with the PyTorch developers at Facebook in NYC. His research work is concerned with model predictive policy learning for autonomous vehicles.

Space is limited so please RSVP. This workshop was organized by the TensorFlow & PyTorch User Group.

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