Implementation of basic CNN on the CIFAR-10 image classification dataset
I have created a basic Convolutional Neural Net using Keras involving:
- Dropout Regularization
- BatchNormalization
- ReduceLROnPlateau Callback
- Adam optimizer with Nesterov momentum
This model achieved a training accuracy of 91.67% and test accuracy of 86.71%.
This is the link to my Kaggle notebook for the same: https://www.kaggle.com/code/gautamrmenon/cifar-10-using-keras