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content for workshop on deep learning, mxnet gluon and more

Shell 0.03% Python 0.80% Jupyter Notebook 99.17%

deep-learning-gluon-seattle_75tt's Introduction

Usage:

git clone --recurse-submodules https://github.com/sad-/deep-learning-gluon-seattle

deep-learning-gluon-seattle

Repo for resources for workshop on deep learning with Apache MXNet, Gluon, Amazon SageMaker and more

Day 1

Title Length Presenter
01 - Introduction to Deep Learning 45 Soji
02 - Introduction to MXNet, Gluon and Amazon SageMaker 30 Nathalie
03 - Gluon Crash Course 90 Soji/Nathalie
Lunch Break 60
04 - Overview of Computer Vision 45 Soji
05 - Gluon CV 30 Soji
06 - Object Detection lab 60 Soji
Break 15
07 - Generating Images lab 60 Nathalie

Day 2

Title Length Presenter
08 - Introduction to Time Series and Sequence Models 45 Nathalie
09 - Introduction to Recurrent Neural Networks 30 Nathalie
10 - Gluon Forecasting lab 90 Nathalie
Lunch Break 60
11- Overview of NLP 40 Soji
12 - Gluon NLP 30 Soji
13 - Visual Anomaly Detection lab 60 Nathalie
Break 15
14 - Reinforcement Learning lab 60 Soji

deep-learning-gluon-seattle_75tt's People

Contributors

sojiadeshina avatar trellixvulnteam avatar

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