Data Augmentation with Python (Duc Haba)（Z-Library）

Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data and boost your AI and generative AI accuracy using real-world datasets with over 150 functional object-oriented methods and open source libraries.Key Features: Explore beautiful, customized charts and infographics in full color Work with fully functional OO code using open source libraries in the Python Notebook for each chapter Unleash the potential of real-world datasets with practical data augmentation techniques Book DescriptionData is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image...