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.
The single file can be run on Jupyter Notebook and Colab.
Categorize_Flowers.ipynbLink to Github