Pinned Repositories
deep-learning
Graph-Neural-Network-Playground
Subsequently, GCN, GIN, and GAT models are trained using this graph and its features. Techniques such as Dropout are employed to prevent overfitting in the models. Additionally, strategies like Learning Rate Scheduling and Early Stopping are utilized for optimizing training and preventing overfitting
Image-Compression-Using-PCA-in-Python
NotePad
a simple NotePad with js
programmingSteps
Zrakhiyali's Repositories
Zrakhiyali/deep-learning
Zrakhiyali/Graph-Neural-Network-Playground
Subsequently, GCN, GIN, and GAT models are trained using this graph and its features. Techniques such as Dropout are employed to prevent overfitting in the models. Additionally, strategies like Learning Rate Scheduling and Early Stopping are utilized for optimizing training and preventing overfitting
Zrakhiyali/Image-Compression-Using-PCA-in-Python
Zrakhiyali/NotePad
a simple NotePad with js
Zrakhiyali/programmingSteps