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AI Data Augmentation Techniques by bhakunishraddha is a document available to read on EtoBox.
What is AI Data Augmentation Techniques about?
This work explores the efficient use of finite data through Artificial Intelligence applications. It discusses data augmentation techniques using deep learning models like DNN, CNN, GANs, and VAEs, as well as data preprocessing methods to create infinite datasets for model training. The focus is on enhancing data acquisition (DAQ) for improved outcomes in various applications.
- Author
- bhakunishraddha
- Language
- EN