Kirigami: large convolutional kernels improve deep learning-based RNA secondary structure prediction.

Marc Harary Chengxin Zhang

Published in: CoRR (2024)

Keyphrases

deep learning
unsupervised feature learning
unsupervised learning
machine learning
rna secondary structure prediction
mental models
restricted boltzmann machine
weakly supervised
supervised learning
clustering algorithm
feature space
deep belief networks