Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models

Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models

Deep-SDM is a unified layer framework built on TensorFlow/Keras and written in Python 3.12. The framework aligns with the modular engineering principles for the design and development strategy. Transparency, reproducibility, and recombinability are the framework’s primary design criteria. The platfo...

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Bibliographic Details
Main Authors:	Nawa Raj Pokhrel, Keshab Raj Dahal, Ramchandra Rimal, Hum Nath Bhandari, Binod Rimal
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Software
Subjects:	deep learning sequential data modeling time series LSTM GRU CNN
Online Access:	https://www.mdpi.com/2674-113X/3/1/3

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