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Hands on Master Class in modern neural network programming

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Hands on Master Class in modern neural network programming

An 8-day hands on master class in coding neural networks is offered by Prof. Giovanni Volpe from 27 November - 6 December 2024 (2 week-masterclass).

Speeaker : Giovanni Volpe is Professor at the Physics Department at the University of Gothenburg ( Sweden), where he has been leading the Soft Matter Lab since 2016 with an interdisciplinary research program that combines soft condensed matter, optical manipulation, nanotechnology, and machine learning. He is a co-founder of the startup companies Lucero Bio and IFLAI. More information can be found here: https://softmatterlab.org/

The course closely follows the book authored by Prof. Volpe and others, which in a pre-publication version can be seen here: https://nostarch.com/deep-learning-crash-course. Classes will be very hands on, i.e. including realtime coding of examples and exercises in Python using the PyTorch package.

Course progress: The class is targeting PhD student, postdocs, PIs, technicians and engineers.

In person participation limited to 50.

 The event will be streamed live, contact daniel.brunner@femto-st.fr for access to the stream.

Requirements :

  •  Basic knowledge of the Python programming language.
  • Python installed on your computer
  •   PyTorch package installed
  •   Some basic knowledge of PyTorch is recommended, this first days of the course are intense
  • Google Colab: Some of the models that we will code during the course are computationally heavy. For those who do not have GPU acceleration at hand, we recommend using free available computing resources via https://colab.research.google.com/. How to run PyTorch using Colab can be found here: https://pytorch.org/tutorials/beginner/colab.html

Location:             1st week: AMPHI-B, UFR ST, campus la Bouloie.

                               2nd week: FEMTO-ST, TEMIS, 15B Avenue des Montboucons, room RDC-ACC-07&08

Detailed program

 
1 Début 2 Terminé
RegistrationIn person (Limited to 50)Online
Week 1 - Amphi B. UFR S.T *
Week 2 - Amphi JJ Gagnepain - TEMIS *