Raw data of "Leveraging network motifs to improve artificial neural networks"

Raw data of "Leveraging network motifs to improve artificial neural networks"

<p dir="ltr">This dataset is associated with the publication "Leveraging network motifs to improve artificial neural networks". It contains a total of 188 .npy, 33 .pkl, and 8 .avi files, occupying approximately 91.4 GB of storage. The 188 ".npy" and 33 ".pkl...

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Dettagli Bibliografici
Autore principale: Haoling Zhang (21998528) (author)
Altri autori: Jesper Tegner (22470179) (author)
Pubblicazione: 2025
Soggetti:
Evolutionary computation
Knowledge representation and reasoning
Satisfiability and optimisation
Adversarial machine learning
Neural networks
Biological mathematics
Complex systems
Numerical analysis
Topology
reinforcement learning
deep learning
optimization
collider
incoherent loop
coherent loop
supervised learning
artificial neural network
network analysis
robustness
numerical stability
machine learning
network motif
lipschitz constant
representational capacity
representational distinctiveness
inappropriate learning
learning priority
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