CNN Parameter Tuner 2.1.0
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 |
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md5:a311f59f1158ec1bd5b14197792ad2ca
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6.1 MB | Preview Download |
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md5:861cd8704307715bb5a22e3c36bf4fbe
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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