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Coffee-Roasting

Overview

A simple neural network model using Tensorflow to predict if the coffee roasted is "good" or "bad". There are two input features (duration in minutes and temperature in celsius) with two layers in the network having sigmoid activation functio.

Libraries used

  • Tensorflow
  • Numpy
  • Matplotlib

Implementation

Run coffee-roasting.ipynb file.

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A simple neural network using Tensorflow to predict if the coffee roasted is "good" or "bad".

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