Search Results for author:
Found 2 papers, 1 papers with code
A Fortran-Keras Deep Learning Bridge for Scientific Computing
Implementing artificial neural networks is commonly achieved via high-level programming languages like Python and easy-to-use deep learning libraries like Keras.
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts
Transfer learning allows us to train deep architectures requiring a large number of learned parameters, even if the amount of available data is limited, by leveraging existing models previously trained for another task.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
