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ACDL 2020 Program ACDL-2020-Programme-Ver10.0
PyTorch can be installed with:
https://pytorch.org/get-started/locally/
Ideally, you would run PyTorch from Jupyter:
Also, the “graphviz” python package is handy to investigate what is going on inside PyTorch:
https://graphviz.readthedocs.io/en/stable/manual.html#installation
We will share an allocation schedule asap.
As you know, ACDL 2020 is a hybrid event:
ACDL 2020 (for participants using remote connection) will use Zoom (https://zoom.us).
The online lectures and tutorials (e.g., live presentations or recorded ones) will be made possible.
In the next days, the ACDL 2020 virtual participants will receive the link and the password.
See you (in 3D or 2D) soon!
Prof. Pierre Baldi’s Course:
1. Autoencoders and Deep Learning
2. Deep Learning in the Physical Sciences
3. Deep Learning in the Life Sciences
Remember: you need to book your accommodation (in Full Board) at the course venue and pay the amount directly to the Certosa di Pontignano. Here the
The ACDL 2020 Program – Ver. 4.0 ACDL-2020-Programme-Ver4.0