Designing Multi-Class Classifiers for Sub-mA Microcontroller Platforms
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Designing Multi-Class Classifiers for Sub-mA Microcontroller Platforms. Abstract: With the prevalence of deep learning technology in various application ...
In this work, we propose a new approach to develop convolutional neural networks to run on such sub-mA platforms, usually with less than 10 KB memory for ...
Dive into the research topics of 'Designing Multi-Class Classifiers for Sub-mA Microcontroller Platforms'. Together they form a unique fingerprint. classifiers ...
There exist several strategies to construct multi-class classifiers from binary classifiers. An important question is which strategy offers the highest ...
Bibliographic details on Designing Multi-Class Classifiers for Sub-mA Microcontroller Platforms.
Oct 22, 2024 · In this article, we provide ML-MCU, a framework with our novel Optimized-Stochastic Gradient Descent (Opt-SGD) and Optimized One-Versus-One (Opt ...
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ML-MCU [185], H: Optimized SGD (inherits stability of GD and efficiency of SGD); optimized one-versus-one (OVO) binary classifiers for multiclass classification ...
Oct 24, 2022 · I have a multi class classification problem where I have to first classify the texts with categories and then classify for each category, ...
Missing: Designing mA Microcontroller Platforms.
The proposed objective of this research is to construct a small peptide predictive model using different features of small peptides. In this study, we propose a ...