📑 Deep Learning. Practice Project 6_0: Processing & Classification of Tomato Cultivars` Images

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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 and other algorithms.
We are going to apply:
1) scikit-learn: Machine Learning in Python
2) Keras: a Python Deep Learning Library
3) PyTorch: an Open Source Machine Learning Framework.

✒️ Code Modules & Settings

💡 The cells below do not work with Python 3.9.