Ryan Deep Learning with fastai Cookbook

Leverage the easy-to-use fastai framework to unlock the power of deep learning
1. Auflage 2021
ISBN: 978-1-80020-999-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 340 Seiten

No detailed description available for "Deep Learning with fastai Cookbook".

Autoren/Hrsg.

Ryan, Mark

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Getting Started with fastai

- Exploring and Cleaning Up Data with fastai
- Training Models with Tabular Data
- Training Models with Text Data
- Training Recommender Systems
- Training Models with Visual Data
- Deployment and Model Maintenance
- Extended fastai and Deployment Features

Über Autor(innen)

Ryan Mark:

Mark Ryan is a machine learning practitioner and technology manager who is passionate about delivering end-to-end deep learning applications that solve real-world problems. Mark has worked on deep learning projects that incorporate a variety of related technologies, including Rasa chatbots, web applications, and messenger platforms. As a strong believer in democratizing technology, Mark advocates for Keras and fastai as accessible frameworks that open up deep learning to non-specialists. Mark has a degree in computer science from the University of Waterloo and a Master of Science degree in computer science from the University of Toronto.