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Deep Learning (PyTorch)

This repository contains projects completed at Udacity's Deep Learning Nanodegree program. Each project consists of a Jupyter Notebook where all the required code is present and all the assests required to run the project. Each project also has a html form of the notebook, so you can easily download it to view the code without opening Jupyter Notebook.

Project description

  1. Dog breed classifier: Given an image of a dog, the algorithm will identify an estimate of the canine's breed. The project also buids a pipeline to process real world user supplie dimages.

  2. Generate TV scripts: Generate a TV script by defining and training a recurrent neural network.

  3. Generate faces: Define two adversarial networks (GANs), a generator and a discriminator, and train them to generate realistic faces.

  4. Deploying a Sentiment Analysis Model using Amazon Sagemaker: Build and deploy a RNN to perform sentiment analysis on movie reviews complete with publicly accessible API and a simple web page which interacts with the deployed endpoint.

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