Cargando…
dtoolAI: Reproducibility for Deep Learning
Deep learning, a set of approaches using artificial neural networks, has generated rapid recent advancements in machine learning. Deep learning does, however, have the potential to reduce the reproducibility of scientific results. Model outputs are critically dependent on the data and processing app...
Autores principales: | Hartley, Matthew, Olsson, Tjelvar S.G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660391/ https://www.ncbi.nlm.nih.gov/pubmed/33205122 http://dx.doi.org/10.1016/j.patter.2020.100073 |
Ejemplares similares
-
Lightweight data management with dtool
por: Olsson, Tjelvar S.G., et al.
Publicado: (2019) -
jicbioimage: a tool for automated and reproducible bioimage analysis
por: Olsson, Tjelvar S. G., et al.
Publicado: (2016) -
The integration of Open3DTOOLS into the RDKit and KNIME
por: Tosco, Paolo, et al.
Publicado: (2014) -
Ectopic BASL Reveals Tissue Cell Polarity throughout Leaf Development in Arabidopsis thaliana
por: Mansfield, Catherine, et al.
Publicado: (2018) -
Local chromatin environment of a Polycomb target gene instructs its own epigenetic inheritance
por: Berry, Scott, et al.
Publicado: (2015)