Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Diffraction experiment2
    • Imaging2
    • Microscopy2
    • Microscopy imaging2
    • Optical super resolution microscopy2
    • Photonic force microscopy2
    • Photonic microscopy2
    • Show N_FILTERS more
    • Tool
    • Galaxy2
    • scikit-image2
    • Galaxy Image Analysis1
    • PyTorch1
    • Show N_FILTERS more
    • Content provider
    • GTN2
    • Show N_FILTERS more
    • Keyword
    • Deep learning
    • biodiversity32
    • Single Cell31
    • Galaxy Server administration29
    • microgalaxy27
    • Proteomics26
    • Statistics and machine learning24
    • Using Galaxy and Managing your Data19
    • Transcriptomics18
    • jupyter-notebook18
    • Contributing to the Galaxy Training Material17
    • Ecology16
    • Genome Annotation16
    • ansible16
    • Assembly15
    • Variant Analysis14
    • git-gat14
    • interactive-tools14
    • jbrowse114
    • Imaging13
    • earth-system12
    • paper-replication12
    • FAIR Data, Workflows, and Research11
    • MIGHTS11
    • gmod11
    • Microbiome10
    • Teaching and Hosting Galaxy training10
    • elixir10
    • prokaryote10
    • Climate9
    • Development in Galaxy9
    • Foundations of Data Science9
    • Introduction to Galaxy Analyses9
    • eukaryote9
    • work-in-progress9
    • DDA8
    • Epigenetics8
    • Image segmentation8
    • ocean8
    • one-health8
    • 10x7
    • Computational chemistry7
    • assembly7
    • covid197
    • cyoa7
    • plants7
    • workflows7
    • EBV dataset6
    • EBV workflow6
    • data stewardship6
    • fair6
    • Large Language Model5
    • Metabolomics5
    • ai-ml5
    • collections5
    • dmp5
    • español5
    • jobs5
    • train-the-trainers5
    • transcriptomics5
    • DIA4
    • Multi-channel image4
    • Overlay4
    • QC4
    • Sequence analysis4
    • deutsch4
    • illumina4
    • italiano4
    • mouse4
    • nanopore4
    • single-cell4
    • storage4
    • ChIP-seq3
    • Data management3
    • FAIR3
    • Galaxy Community Building3
    • Object feature extraction3
    • RAD-seq3
    • Visualisation3
    • amr3
    • bacteria3
    • data import3
    • data management3
    • deconvolution3
    • deploying3
    • genetic composition EBV class3
    • monitoring3
    • pacbio3
    • proteogenomics3
    • ro-crate3
    • sc_formats3
    • virology3
    • 16S2
    • Bioimaging2
    • CoDex2
    • Community2
    • Conversion2
    • Digital Humanities2
    • EML2
    • Evolution2
    • Show N_FILTERS more
    • Competency level
    • Intermediate2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Anne Fouilloux1
    • Arif ul Maula Khan1
    • Diana Chiang Jurado1
    • Leonid Kostrykin1
    • Yi Sun1
    • Show N_FILTERS more
    • Contributor
    • Björn Grüning
    • Beatriz Serrano-Solano3
    • Leonid Kostrykin3
    • Saskia Hiltemann3
    • Anup Kumar1
    • Daniel Franco Barranco1
    • Diana Chiang Jurado1
    • Maria Arrate Munoz Barrutia1
    • Riccardo Massei1
    • Yi Sun1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets2
    • Associated Workflows2
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

e-Learning

  • Subscribe via email

Email Subscription

Register training material

Keywords: Deep learning

and Contributors: Björn Grüning

and Resource type: e-learning

2 e-learning materials found
  • e-learning

    Training Custom YOLO Models for Segmentation of Bioimages

    •• Intermediate
    Imaging Deep learning Image annotation Image segmentation Imaging
  • e-learning

    Using BioImage.IO models for image analysis in Galaxy

    •• Intermediate
    Imaging Deep learning Image annotation Image segmentation Imaging
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.