Advanced Deep Learning and Tensor Tutorial

AI4Science@Caltech

An advanced tutorial on deep learning and tensor methods.

Annenberg Center for Information Science and Technology

Speakers:<a href="http://jeankossaifi.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Jean Kossaifi</a> and <a href="https://www.adrianbulat.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Adrian Bulat</a>Schedule:Deep learning refresher — how to train your deep nets (1:00 - 1:30)Tensor methods Quickstart (1:30 - 2:00) Short break (2:00 - 2:10)Combining tensor methods and deep learning (2:10 - 3:00)Short break (3:00 - 3:10)Ultimate compression with (binary) quantisation of deep neural networks (3:10 - 3:40)Break + setup (3:40 - 4:00)Hands-on session + Q&A: (4:00 - 5:00)<ul><li>Training a neural network for image classification</li></ul><ul><li>Adding in tensor decomposition</li></ul><ul><li>Binarizing/Quantization the network</li></ul>====================PrerequisitesYou will need a laptop to get the most of the session, with Python (3.7 or higher) installed, along with PyTorch and TensorLy.You also need to have the jupyter notebook installed.More details: https://sites.google.com/view/ai-for-science-workshop/advanced-dl-tensor-tutorial

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Advanced Deep Learning and Tensor Tutorial

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Advanced Deep Learning and Tensor Tutorial

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