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Fine-tunning VGG11 model with MNIST
- Training VGG11 model with MNIST
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Inspecting the training process
- Loss function vsepoch
- Accuracy vs epoch
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Inspecting the generalization properties
- Test accuracy vs the degree of rotation
- Test accuracy vs Gaussian noise
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Data augmentation using rotation and adding Gaussian noise
- Test accuracy vs the degree of rotation after data augmentation
- Test accuracy vs Gaussian noise after data augmentation
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Bayes Gaussian Mixture Models (GMM)
- Fitting Data set into K Gaussian Models
- Inspecting impact of PCA
