This repository contains all projects which are graded by Udacity during my nanodegree and classroom assesments of DLND
Framework is specific to PYTORCH only.
Build and train neural networks from scratch to predict the number of bikeshare users on a given day.
Design and train a convolutional neural network to analyze images of dogs and correctly identify their breeds. Use transfer learning and well-known architectures to improve this model—this is excellent preparation for more advanced applications.
Build a recurrent neural network on LSTM using pytorch to process text. Use it to generate new episodes of your favorite TV show, based on old scripts.
Build a pair of multi-layer neural networks and make them compete against each other in order to generate new, realistic faces. Try training them on a set of celebrity faces, and see what new faces the computer comes out with!
Train and deploy your own PyTorch sentiment analysis model. You’ll build a model and create a gateway for accessing it from a website.
