CNN Parameter Tuner 2.2.0
Description
Greetings and welcome to CNN Parameter Tuner 2.2.0!
This innovative application is your gateway to the fascinating world of Convolutional Neural Network (CNN) parameter tuning. Unlock the full potential of image analysis by fine-tuning CNN algorithms with precision and ease.
Enjoy a wide range of preprocessing options, including normalization, standardization, and augmentations, as well as the flexibility to experiment with various train-test ratios, custom CNN models, epochs, batch sizes, activation functions, optimizer functions, and loss functions.
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.
Kindly note that the software may take approximately one minute to appear. We appreciate your patience!
Update: We are pleased to introduce various preprocessing options, including normalization, standardization, and augmentations, to further enhance your experience!
Files
cnn tuner book v2.2.0.pdf
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