|Luke Rucks 55fcbcc0a2 Change wording in learning rate starting point explanation to reflect project update||1 year ago|
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|README.md||1 year ago|
This repository contains material related to Udacity’s Deep Learning Nanodegree Foundation program. It consists of a bunch of tutorial notebooks for various deep learning topics. In most cases, the notebooks lead you through implementing models such as convolutional networks, recurrent networks, and GANs. There are other topics covered such as weight intialization and batch normalization.
There are also notebooks used as projects for the Nanodegree program. In the program itself, the projects are reviewed by Udacity experts, but they are available here as well.
Each directory has a
requirements.txt describing the minimal dependencies required to run the notebooks in that directory.
To install these dependencies with pip, you can issue
pip3 install -r requirements.txt.
You can find Conda environment files for the Deep Learning program in the
environments folder. Note that environment files are platform dependent. Versions with
tensorflow-gpu are labeled in the filename with “GPU”.