Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Bayesian methods2
    • Biostatistics2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Probabilistic graphical model2
    • Probability2
    • Statistics2
    • Statistics and probability2
    • Show N_FILTERS more
    • Tool
    • Galaxy2
    • scikit-learn2
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Kaivan Kamali
    • Helena Rasche34
    • Björn Grüning23
    • Bérénice Batut21
    • Nate Coraor15
    • Saskia Hiltemann15
    • Anup Kumar11
    • Simon Gladman11
    • Anika Erxleben7
    • Anne Fouilloux6
    • Martin Čech6
    • Nicola Soranzo6
    • Alireza Khanteymoori4
    • Marius van den Beek4
    • Mira Kuntz4
    • Daniel Blankenberg3
    • Florian Christoph Sigloch3
    • Laila Los3
    • Lucille Delisle3
    • Simon Bray3
    • Vivek Bhardwaj3
    • Wolfgang Maier3
    • Christopher Barnett2
    • Clemens Blank2
    • Dave Clements2
    • Fidel Ramirez2
    • Fotis E. Psomopoulos2
    • Friederike Dündar2
    • Gianmauro Cuccuru2
    • Mallory Freeberg2
    • Mehmet Tekman2
    • Michele Maroni2
    • Mo Heydarian2
    • Nadia Goué2
    • Olha Nahorna2
    • Pavankumar Videm2
    • Simone Leo2
    • Toby Hodges2
    • Wendi Bacon2
    • Łukasz Opioła2
    • Abdulrahman Azab1
    • Ahmed Hamid Awan1
    • Andrea Bagnacani1
    • Anne Pajon1
    • Anton Nekrutenko1
    • Aysam Guerler1
    • Bartosz Walkowicz1
    • Bruno P. Kinoshita1
    • Dannon Baker1
    • Dennis Lal group1
    • Ekaterina Polkh1
    • Eli Chadwick1
    • Elisa Michon1
    • Hans-Rudolf Hotz1
    • Hui Tang1
    • Joachim Wolff1
    • John Chilton1
    • Julia Jakiela1
    • Leily Rabbani1
    • Maria Doyle1
    • Marie Gramm1
    • Markus Wolfien1
    • Matthias Bernt1
    • Melanie Föll1
    • Menna Gamal1
    • Nuwan Goonasekera1
    • Peter Sefton1
    • Peter van Heusden1
    • Stian Soiland-Reyes1
    • The Carpentries1
    • Torfinn Nome1
    • Torsten Houwaart1
    • Youri Hoogstrate1
    • Yvan Le Bras1
    • Show N_FILTERS more
    • Contributor
    • Martin Čech
    • Saskia Hiltemann7
    • Helena Rasche6
    • Kaivan Kamali6
    • Anup Kumar5
    • Björn Grüning2
    • Cristóbal Gallardo2
    • qiagu2
    • Enis Afgan1
    • Michelle Terese Savage1
    • Nate Coraor1
    • Simon Bray1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • e-learning1
    • slides1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows2
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Difficulty level: Beginner

and Authors: Kaivan Kamali

and Contributors: Martin Čech

2 materials found
  • slides

    Convolutional neural networks (CNN) Deep Learning - Part 3

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 3) - Convolutional neural networks (CNN)

    • beginner
    Statistics and probability Statistics and machine learning
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.