Haba Data Augmentation with Python

Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data
1. Auflage 2023
ISBN: 978-1-80323-591-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 394 Seiten

No detailed description available for "Data Augmentation with Python".

Autoren/Hrsg.

Haba, Duc

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur

Inhaltsverzeichnis

Table of Contents - Data Augmentation Made Easy
- Biases in Data Augmentation
- Image Augmentation for Classification

- Image Augmentation for Segmentation
- Text Augmentation
- Text Augmentation with Machine Learning
- Audio Data Augmentation
- Audio Data Augmentation with Spectrogram
- Tabular Data Augmentation

Über Autor(innen)

Haba Duc:

Mr. Duc Haba is a lifelong technologist and researcher specializing in Deep Learning and Generative AI. He has been a programmer, Enterprise Mobility Solution Architect, AI Solution Architect, Principal, VP, CTO, and CEO. The companies range from startups and IPOs to enterprise companies. Duc's career started with Xerox Palo Alto Research Center (PARC), researching expert systems (ruled-based) for Xerox copier diagnostics. After PARC, he joined Oracle, following Viant Consulting as a founding member. He jumped headfirst into the entrepreneurial culture in Silicon Valley. There were slightly more failures than successes, but the highlights are working with Oracle, Viant, and RRKidz. Currently, he is happy working at YML as the AI Solution Architect.