Introduction
In this project, you will explore the use of k-fold Cross-validation test image gradients by applying it on the following three tasks:
o Determine the best 2-layer MLP structure.
o Class Visualization: Deep Inside Convolutional Networks: Visualising Image Classifica ion Models and Salienc Maps and Unders anding Ne ral Ne orks
Thro gh Deep Vis ali a ion o Style Transfer: Image s le ransfer sing con ol ional ne ral ne orks
Please go through the above reference papers very carefully. You are expected to understand how to accomplish each task using the methods presented in the papers and write code to implement them by completing Project1.ipynb which is available in Project1.zip from LumiNUS.
