I am taking Udacity’s deep learning class at https://www.udacity.com/course/deep-learning-nanodegree-foundation–nd101
I have done the first project, creating a neural network with 1 hidden layer (so not deep enough :)) to predict bike demands for a bike rental company. The data are real-life data; so this project is actually has real applications. In a nutshell, we can predict how many bikes will be rented in a given day based on factors such as the weather, whether the day is a holiday, etc.
The same model can also be used in other applications such as predicting number of customers of a clothes shop, or of a website.
My homework for this project can be found here:
https://www.alivelearn.net/deeplearning/dlnd-your-first-neural-network.html
