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Deep Learning Tutorial
<!--HTML-->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, Search...
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| Lenguaje: | eng |
| Publicado: |
2015
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| Acceso en línea: | http://cds.cern.ch/record/2093535 |
| _version_ | 1780948730702200832 |
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| author | SADOWSKI, Peter |
| author_facet | SADOWSKI, Peter |
| author_sort | SADOWSKI, Peter |
| collection | CERN |
| description | <!--HTML-->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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| id | cern-2093535 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2015 |
| record_format | invenio |
| spelling | cern-20935352022-11-02T22:33:48Zhttp://cds.cern.ch/record/2093535engSADOWSKI, PeterDeep Learning TutorialData Science @ LHC 2015 WorkshopLPCC Workshops<!--HTML-->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 oai:cds.cern.ch:20935352015 |
| spellingShingle | LPCC Workshops SADOWSKI, Peter Deep Learning Tutorial |
| title | Deep Learning Tutorial |
| title_full | Deep Learning Tutorial |
| title_fullStr | Deep Learning Tutorial |
| title_full_unstemmed | Deep Learning Tutorial |
| title_short | Deep Learning Tutorial |
| title_sort | deep learning tutorial |
| topic | LPCC Workshops |
| url | http://cds.cern.ch/record/2093535 |
| work_keys_str_mv | AT sadowskipeter deeplearningtutorial AT sadowskipeter datasciencelhc2015workshop |