Exploration of hyperparameters in Convolutional Neural Networks (CNNs) using the CIFAR10 dataset. This project investigates the impact of: Optimizers: SGD (Learning Rate), RMSProp (rho), Adam (beta1, beta2) GaussianNoise Regularization (stddev) Conv2D layers with dilation rate
-
Notifications
You must be signed in to change notification settings - Fork 0
Exploration of hyperparameters in Convolutional Neural Networks (CNNs) using the CIFAR10 dataset. This project investigates the impact of: Optimizers: SGD (Learning Rate), RMSProp (rho), Adam (beta1, beta2) GaussianNoise Regularization (stddev) Conv2D layers with dilation rate
ahmedmoustafa22/cnn-hyperparameter-exploration-cifar10
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Exploration of hyperparameters in Convolutional Neural Networks (CNNs) using the CIFAR10 dataset. This project investigates the impact of: Optimizers: SGD (Learning Rate), RMSProp (rho), Adam (beta1, beta2) GaussianNoise Regularization (stddev) Conv2D layers with dilation rate
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published