Study on the Correlation of Trainable Parameters and Hyperparameters with the Performance of Deep Learning Models-Reference-Cited by-同舟云学术

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Study on the Correlation of Trainable Parameters and Hyperparameters with the Performance of Deep Learning Models

Published:2023-09-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS)
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Author:

Ong Song-Quan¹,Isawasan Pradeep²,Nair Gomesh³,Salleh Khairulliza Ahmad²,Yusof Umi Kalsom⁴

Affiliation:

1. Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah,Sabah,Malaysia

2. College of Computing, Informatics and Mathematics, Universiti Teknologi Mara,Perak Branch,Malaysia

3. School of Electrical and Electronics, Universiti Sains Malaysia,Penang,Malaysia

4. School of Computer Sciences, Universiti Sains Malaysia,Penang,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10284521/10284522/10284682.pdf?arnumber=10284682

Reference22 articles.

1. Effect of data-augmentation on fine-tuned CNN model performance

2. Universal activation function for machine learning

3. Implementation of a deep learning model for automated classification of Aedes aegypti (Linnaeus) and Aedes albopictus (Skuse) in real time

4. Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing

5. Visualizing and understanding convolutional networks;zeiler;European Conference on Computer Vision,2014

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