A comprehensive survey of deep learning models based on Keras framework
BT Chicho, AB Sallow - Journal of Soft Computing and Data …, 2021 - publisher.uthm.edu.my
Python is one of the most widely adopted programming languages, having replaced a
number of those in the field. Python is popular with developers for a variety of reasons, one …
number of those in the field. Python is popular with developers for a variety of reasons, one …
Enhancing graph convolutional networks with variational quantum circuits for drug activity prediction
P Gajjar, Z Zuo, Y Li, L Zhao - Congress on Intelligent Systems, 2022 - Springer
This study pertains to understanding the applicability of variational circuits and quantum
enhancements for graph convolutional networks to predict drug activity accurately. The …
enhancements for graph convolutional networks to predict drug activity accurately. The …
Comprehensive Review and Comparative Analysis of Keras for Deep Learning Applications: A Survey on Face Detection Using Convolutional Neural Networks
NA Lafta, ZAA Abbood - International Journal of Religion, 2024 - ijor.co.uk
This paper aims to provide a literature review and comparative analysis focused on the
importance of using Python as the primary language for machine learning (ML), deep …
importance of using Python as the primary language for machine learning (ML), deep …
Leveraging twin networks for land use land cover classification
Information related to land use land cover (LULC) plays an instrumental role in land
management and planning. With the advent of the field of machine learning, accurate …
management and planning. With the advent of the field of machine learning, accurate …