Develo** Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm
Neural Architecture Search (NAS) methods autonomously discover high-accuracy neural
network architectures, outperforming manually crafted ones. However, The NAS methods …
network architectures, outperforming manually crafted ones. However, The NAS methods …
[PDF][PDF] Analysis of topological magnetic phases using generative machine learning models
O Dušek - 2024 - dspace.cuni.cz
In this thesis, we developed a model of a variational autoencoder with residual connections,
trained on a dataset of skyrmion lattices. Afterwards, we explored its ability to reconstruct …
trained on a dataset of skyrmion lattices. Afterwards, we explored its ability to reconstruct …
Attention Based Evolutionary Approach for Image Classification
A Prem, A Joshi, H Madana… - … on Computer and …, 2023 - ieeexplore.ieee.org
Lately, evolutionary algorithms have gained traction due to their ability to produce state-of-
the-art deep learning architectures for a given data set, even though they require …
the-art deep learning architectures for a given data set, even though they require …