Machine Learning: Categorize_Flowers
Using machine learning with TensorFlow to categorize flowers. Using a dataset from Google's documentation on Tensorflow. Creates a larger training set by augmenting images by rotation, zoom, and scaling.   Training and validation graphs Initially used an epoch of 80. Discovered that an epoch of 100 had a more stable learning curve.     Development […]

Using machine learning with TensorFlow to categorize flowers.

Using a dataset from Google's documentation on Tensorflow. Creates a larger training set by augmenting images by rotation, zoom, and scaling.  

Training and validation graphs

Initially used an epoch of 80. Discovered that an epoch of 100 had a more stable learning curve.

  Machine learning: Epoch = 80   Machine learning: Epoch = 100

Development setup

The single file can be run on Jupyter Notebook and Colab.

Categorize_Flowers.ipynb
  Link to Github

Credits

The TensorFlow Authors.

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