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Project: Improve "Deep Learning CNNs with Keras.ipynb" #4

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rajatjain1997 opened this issue Dec 25, 2019 · 0 comments
Open

Project: Improve "Deep Learning CNNs with Keras.ipynb" #4

rajatjain1997 opened this issue Dec 25, 2019 · 0 comments
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enhancement New feature or request good first issue Good for newcomers

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@rajatjain1997
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The notebook Deep Learning CNNs with Keras.ipynb currently classifies images from malaria cells into two categories. However, little is done to explain the theory behind CNNs or the Keras API that it is built on. In addition, it would be great to have a background on the problem statement and why classifying these images can be relevant.

I would like the notebook to follow a pattern similar to aima-python's notebooks. For example, check: https://github.com/aimacode/aima-python/blob/master/agents.ipynb

The notebook should ideally have:

  • Why this dataset?
  • What are CNNs? What are the different types of layers are used for?
  • How to build them in Keras?
@rajatjain1997 rajatjain1997 added enhancement New feature or request good first issue Good for newcomers labels Dec 25, 2019
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