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Learning deep learning on Udacity
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:
Try Stork, a research tool we developed
Stork is a publication alert app developed by us at Stanford. As a researcher we often forget to follow up important publications - and it's practically impossible to search many keywords or researchers' names everyday. Stork can help us to search everyday and notifies us when there are new publications/grants. How Stork helped me?
About the author:
Xu Cui is a human brain research scientist in Stanford University. He lives in the Bay Area in the United States. He is also the founder of Stork (smart publication alert app), PaperBox and BizGenius.
He was born in He'nan province, China. He received education in Beijing University(BS), University of Tennessee (Knoxville) (MS), Baylor College of Medicine (PhD) and Stanford University (PostDoc). Read more ...