/Projects-and-Exercises-Completed-in-Deep-Learning-Class

Project and Exercises completed in Deep Learning Class

Primary LanguageJupyter Notebook

Projects-and-Exercises-Completed-in-Deep-Learning-Class

Projects and Exercises completed in Deep Learning Class at the University of the Philippines Diliman, Electrical and Electronics Engineering Institute

Notebooks Included

  • EE 298 Project 1: Kinship Detection using: 1. Basic BCNN and 2. OpenFace_and_BCNN
    This Jupyter Notebook is used to predict if two people share a kinship relationship or not based on their facial images.
    The dataset can be found at https://www.kaggle.com/c/recognizing-faces-in-the-wild.

  • EE 298 Project 2: Shoe Collab GAN (Generative adversarial network)
    Automatically generates Shoe Collaboration Designs for Super Mario and Nike

  • EE 298 HW: Application of Multilayer Perceptron (MLP) on CIFAR10 dataset

  • EE 298 HW: Application of Convolutional neural network (CNN) on CIFAR10 dataset

  • EE 298 HW: Denoising Auto Encoder for Corrupted MNIST Data