Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mahla Abdolahnejad"'
Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scor
Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.Key FeaturesSolve complex machine learning problems with precisionEvaluate, tweak, and improve your deep
Autor:
Peter Xiaoping Liu, Mahla Abdolahnejad
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3118bc1035a42cf33b084ee6463d913c
https://doi.org/10.1109/tim.2022.3165261
https://doi.org/10.1109/tim.2022.3165261
Autor:
Olivier Ethier, Hannah O. Chan, Mahla Abdolahnejad, Alexander Morzycki, Arsene Fansi Tchango, Rakesh Joshi, Joshua N. Wong, Collin Hong
Burn care management includes assessing the severity of burns accurately, especially distinguishing superficial partial thickness (SPT) burns from deep partial thickness (DPT) burns, in the context of providing definitive, downstream treatment. Moreo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b21a40239de4d24554d3ffe8d128a63
https://doi.org/10.1101/2022.12.15.22283475
https://doi.org/10.1101/2022.12.15.22283475
Autor:
Mahla Abdolahnejad, Peter X. Liu
Publikováno v:
Artificial Intelligence Review. 53:5847-5880
Image synthesis using representations learned by deep neural networks has gained wide attention in recent years. Among the different categories of natural images, face images are very important because of their broad range of applications. However, i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3744235fc9a027ae161c26ab9a2f2940
https://doi.org/10.1007/s10462-020-09835-4
https://doi.org/10.1007/s10462-020-09835-4
Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming Key Features Ideal for those getting started with Keras for the first time A step-by-step Keras tutorial with exercises and