Rai Advanced Deep Learning with R

Become an expert at designing, building, and improving advanced neural network models using R
1. Auflage 2019
ISBN: 978-1-78953-498-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 352 Seiten

No detailed description available for "Advanced Deep Learning with R".

Autoren/Hrsg.

Rai, Bharatendra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

Table of Contents - Revisiting Deep Learning architecture and techniques
- Deep Neural Networks for multiclass classification
- Deep Neural Networks for regression
- Image classification and recognition
- Image classification using convolutional neural networks
- Applying Autoencoder neural networks using Keras
- Image classification for small data using transfer learning
- Creating new images using generative adversarial networks
- Deep network for text classification
- Text classification using recurrent neural networks
- Text classification using Long Short-Term Memory Network
- Text classification using convolutional recurrent networks
- Tips, tricks and the road ahead

Über Autor(innen)

Rai Bharatendra:

Bharatendra Rai is a chairperson and professor of business analytics, and the director of the Master of Science in Technology Management program at the Charlton College of Business at UMass Dartmouth. He received a Ph.D. in industrial engineering from Wayne State University, Detroit. He received a master's in quality, reliability, and OR from Indian Statistical Institute, India. His current research interests include machine learning and deep learning applications. His deep learning lecture videos on YouTube are watched in over 198 countries. He has over 20 years of consulting and training experience in industries such as software, automotive, electronics, food, chemicals, and so on, in the areas of data science, machine learning, and supply chain management.