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Published March 18, 2025 | Version 2.1.0
Software Open

CNN Parameter Tuner 2.1.0

  • 1. ROR icon Czech University of Life Sciences Prague
  • 2. ROR icon University College London

Description

Greetings and welcome to CNN Parameter Tuner 2.1.0! This innovative application is your gateway to the captivating world of Convolutional Neural Network Parameter Tuning. Dive into the realm of image analysis, powered by Convolutional Neural Networks (CNN), and fine-tune this algorithm with precision and ease, experimenting with Train-Test ratios, Custom CNN model, Epochs, Batch sizes, Activation functions, Optimizer functions, and Loss functions, etc.

Please ensure that the images are organized into separate folders, with the folder names representing the class labels for the classification task. Once the data is loaded, the software will automatically recognize the folder names as the class labels.

 

Bug Fixes: The input image sizes are now correctly passed to the model, whereas previously, only a fixed size of 150×150 pixels was used. Additionally, the confusion matrix now includes class labels on the saved version, and its size automatically adjusts based on the number of classes.

 

Files

CNN Parameter Tuner V 2.1.0 Handbook.pdf

Files (736.2 MB)

Name Size Download all
md5:a311f59f1158ec1bd5b14197792ad2ca
6.1 MB Preview Download
md5:861cd8704307715bb5a22e3c36bf4fbe
730.1 MB Download

Additional details

Related works

Has part
Journal article: 10.1016/j.ecoinf.2024.102932 (DOI)

Software

Repository URL
https://github.com/Gokultcr/CNN-Parameter-Tuner-1.0
Programming language
Python
Development Status
Active