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