Repo for maintaining CV2 coursework and project
Build a saliency prediction system using the 1200 training saliency images. The architecture used is similar to ML-Net.
Training a simple Neural network for linear regression task.
Training a simple convolutional neural network on CIFAR-10 dataset.
Transfer Learning using VGG16(Trained on ImageNet 1000 classes) to train the classifer on CIFAR-10 classes.
Training the CNN for saliency output(essentially image output). using the ML-Net weighted loss function for efficient learning.
Add Regularization in the model created in ex5 to avoid overfitting