Projects completed as part of Deep Learning Nanodegree using CNN, RNN & GAN.
This project aims to build a convolutional neural network to determine the breed of dog or the closest breed to a human's face, based on the input image.
The project to train a model on TV Script and learn to generate its own using RNN. The model is trained on Seinfeld scripts provided and the results are included.
The project explores the GAN framework and uses it to train a model on Celeb_faces dataset to learn and generate new human faces on its own.
The project required to build a recurrent neural network to determine the sentiment of a movie review using the IMDB dataset. The model is developed using Amazon Sagemaker service and is deployed to use in a simple web application.