US ATLAS HL-LHC computing discussion

[Torre Wenaus <wenaus AT gmail.com>]

---------- Forwarded message ---------
From: IML coordinators <iml.coordinators AT cern.ch>
Date: Mon, Jan 27, 2020 at 9:07 AM
Subject: mPP tutorial: TensorFlow 2.0
To: lhc-machinelearning-wg <lhc-machinelearning-wg AT cern.ch>

Dear ML enthusiasts,

As a first in a series of tutorials on Machine Learning organised by the Machine Learning for Particle Physics group (mPP) and the Inter-experimental LHC Machine Learning Working Group (IML), we are happy to invite you to this two half-day tutorial on

TensorFlow 2.0

CERN, February 27-28th

This course will be given by Andreas Steiner, Megan Ruthven and Ruslan Habalov (Google) and is suitable for people new to TensorFlow and those moving from TensorFlow 1x to 2.0. 

Topics include

- Use Colab for data analysis and model development

- Create a TensorFlow protobuf dataset suitable for big data

- How to use the Keras interface

- Learn to develop models with TensorFlow 2 Python API

- Convert a model and do inference in TensorFlow.js

- Move training code to Python programs and on Cloud

Please register as early as possible as places are very limited at

https://indico.cern.ch/e/mpp-tutorials-tf2. 

The registration closes February 10th.

Sincerely,

The organisers

Local organising committee:

Thea Aarrestad (CERN)

Jennifer Ngadiuba (CERN)

Maurizio Pierini (CERN)

Vladimir Loncar (CERN)

Sioni P. Summers (CERN)

Jean-Roch Vlimant (Caltech)

IML coordinators:

Loukas Gouskos (CERN)

Gian Michele Innocenti (CERN)

Lorenzo Moneta (CERN)

David Rousseau (LAL-Orsay)

Paul Seyfert (CERN)

Riccardo Torre (CERN)