📑   Deep Learning. Practice Project 6_1: TensorFlow Hub Models

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In this project, we'll classify images from the dataset Tomato Cultivars.
The content is about 700-800 images (160x160x3) with 15 tomato cultivars stored in the file of Hierarchical Data Format (HDF5) and it's in the building process.
In the original dataset, photo files have the extension PNG and they are labeled by file prefixes.
We'll preprocess the images, represent their examples, then train neural networks.
We are going to apply Keras: a Python Deep Learning Library

✒️   Code Modules & Settings


✒️   Image Data


💡 The cells below do not work with Python 3.9.

✒️   Model Functions


✒️   Model Training


✒️   Model Evaluation