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Meeting Summary

MCL338 - From Deep Learning Prototype to Product with Gluon

Session Description

Gluon is a new easy-to-use, fully imperative interface for building deep learning models without compromising on performance. In this session, we walk through the basics of building a multilayer perceptron and convolutional neural network, highlighting Gluon’s imperative nature and high-level functions. Then, we cover the HybridBlocks feature, which calls down to the symbolic interface to express some or all of the model’s architecture, thus providing high performance through memory and compute optimization.

Session Speakers
Additional Information
Aria
Chalk Talk
Machine Learning
Advanced (300 level)
Please note that session information is subject to change.