GitHub / kuntala-c / Deep-Learning-Data-Augmentation-Using-Beans-Dataset
Demo of data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation
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Language: Jupyter Notebook
Size: 2.57 MB
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Created at: about 3 years ago
Updated at: about 3 years ago
Pushed at: about 3 years ago
Last synced at: about 2 years ago
Topics: data-augmentation, deep-learning, matplotlib, numpy, preprocessing-layers, python, tensorflow, tensorflow-datasets, tensorflow-keras, tfds