About
This tutorial will introduce the latest deep learning software packages and explain how to get started using deep neural networks. We will train deep neural networks using the Theano and Pylearn2 software packages in Python, and then replicate results from Baldi et. al. 2014, Searching for exotic particles in high-energy physics with deep learning. We will also discuss techniques for model selection and automatic hyperparameter tuning.
NOTE: In order to run the examples yourself, please install Theano on your system prior to arrival, and then download pylearn2 from github and put it in your python path. http://deeplearning.net/software/theano/install.html https://github.com/lisa-lab/pylearn2/tree/master/pylearn2.
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The talk
Credits and licence
- Institution
- CERN
- Department
- LPCC Workshops
- Speaker
- Peter SADOWSKI
- Year
- 2015
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed