Deep Learning projects from DLND

To view a project, click on a name below. Example: "P1-first-neural-network"

Project 1: Predicting Bike Sharing Data

In this project, I build and train my own Neural Network from scratch to predict the number of bike-share users on a given day.

P1-first-neural-network from https://github.com/udacity/deep-learning

Project 2: Dog Breed Classifier (CNN)

In this project, I learned how to build a pipeline to process real-world, user-supplied images. Given an image of a dog, my algorithm will identify an estimate of the canine’s breed.

P2-dog-project from https://github.com/udacity/dog-project

Project 3: Generate TV Scripts

Generate a TV script using a recurrent neural network.

P3-tv-script-generation from https://github.com/udacity/deep-learning

Project 4: Generate Faces

Two neural networks against each other to generate realistic faces.

P4-face_generation from https://github.com/udacity/deep-learning

Project 5: Teach a Quadcopter How to Fly

I build a quadcopter flying agent that learns to take off, hover and land using reinforcement learning.

P5-RL-Quadcopter from https://github.com/udacity/RL-Quadcopter-2