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DeepLearning

Deep learning labs for BYU's CS 474 class

I recommend using Colab for coding most of the labs. However, you might find it useful to do small experiments on your computer, where it is easier to save interim results or just for quick prototyping. In that case I recommend using PyCharm as it is a fully featured Python IDE with Jupyter notebook support built in and nice debugging features, and is free for students. Of course you are free to use whatever editor you choose, but don't expect us to debug your editor's issues.

The .ipynb files are in the jupyter notebook format that Colab and PyCharm uses.

Each file has an 'Open in Colab' link at the top of the file, so you can navigate directly to a Colab instance from your github

  • For this to work: Change this line:
<a 
href="https://colab.research.google.com/github/TimWhiting/DeepLearning/blob/master/DL_Lab3.ipynb"
  target="_parent">
  <img 
    src="https://colab.research.google.com/assets/colab-badge.svg"
    alt="Open In Colab"/>
</a>
Open In Colab

to:

<a 
href="https://colab.research.google.com/github/YOUR_GITHUB_USERNAME_HERE/DeepLearning/blob/master/YOUR_LAB_NOTEBOOK.ipynb"
  target="_parent">
  <img
    src="https://colab.research.google.com/assets/colab-badge.svg"
    alt="Open In Colab"/>
</a>

Open In Colab

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Lab notebooks for CS474, Fall 2019

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  • Jupyter Notebook 100.0%