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
    • scikit-learn
    • Galaxy17
    • FastQC5
    • SAMtools3
    • BEDTools2
    • Cutadapt2
    • DeepTools2
    • MultiQC2
    • BUSCO1
    • BamTools1
    • Bowtie 21
    • CellProfiler1
    • ChIPpeakAnno1
    • Clustal 1.8 (Clustal W, Clustal X)1
    • FASTQE1
    • FASTX-Toolkit1
    • GECKO1
    • GEMINI1
    • GraPhlAn1
    • HUMAnN21
    • Heinz1
    • IsoformSwitchAnalyzeR1
    • JBrowse1
    • JBrowse 21
    • MACS1
    • Merqury1
    • MetaPhlAn1
    • NanoPlot1
    • PfamScan1
    • QUAST1
    • RSeQC1
    • STAR1
    • SeqCode1
    • SortMeRNA1
    • StringTie1
    • Trim Galore1
    • UCSC Genome Browser Utilities1
    • Workflow4Metabolomics1
    • clusterProfiler1
    • ewastools1
    • export2graphlan1
    • fastp1
    • gffcompare1
    • gffread1
    • humann1
    • pyGenomeTracks1
    • pycoQC1
    • rnaQUAST1
    • taxonomy_krona_chart1
    • xcms1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Kaivan Kamali2
    • Show N_FILTERS more
    • Contributor
    • Cristóbal Gallardo
    • Saskia Hiltemann3
    • Björn Grüning2
    • Helena Rasche2
    • Kaivan Kamali2
    • Martin Čech2
    • Anup Kumar1
    • Armin Dadras1
    • Simon Bray1
    • Teresa Müller1
    • Show N_FILTERS more
    • Resource type
    • slides
    • 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

Tools: scikit-learn

and Contributors: Cristóbal Gallardo

and Resource type: slides

2 materials found
  • slides

    Feedforward neural networks (FNN) Deep Learning - Part 1

    • beginner
    Statistics and probability Statistics and machine learning
  • slides

    Convolutional neural networks (CNN) Deep Learning - Part 3

    • 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.