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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: ZENODO
Claim

K-CAI NEURAL API v0.1.6

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Dec 2021Publisher:Zenodo
Authors: Joao Paulo Schwarz Schuler;
Code repository: https://github.com/joaopauloschuler/k-neural-api/tree/v0.1.6

doi: 10.5281/zenodo.5810093

K-CAI NEURAL API v0.1.6

Abstract

{"references": ["Schwarz Schuler, Joao Paulo et al. (2021). Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. Artificial Intelligence Research and Development. DOI: 10.3233/FAIA210158", "Schwarz Schuler, Joao Paulo et al. (2021). Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. Artificial Intelligence Research and Development. DOI: 10.3233/FAIA210157"]}

K-CAI NEURAL API is a Keras based neural network API that will allow you to prototype faster! From version v0.1.6, the new function cai.datasets.save_tfds_in_format saves a TensorFlow dataset as image files. Classes become folders for easy of use by standard Keras API.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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