Chin The Deep Learning Architect's Handbook

Build and deploy production-ready DL solutions leveraging the latest Python techniques
1. Auflage 2023
ISBN: 978-1-80323-534-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 516 Seiten

No detailed description available for "The Deep Learning Architect's Handbook".

Autoren/Hrsg.

Chin, Ee Kin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur

Inhaltsverzeichnis

Table of Contents - Deep Learning Life Cycle
- Designing Deep Learning Architectures
- Understanding Convolutional Neural Networks
- Understanding Recurrent Neural Networks
- Understanding Autoencoders
- Understanding Neural Network Transformers
- Deep Neural Architecture Search
- Exploring Supervised Deep Learning
- Exploring Unsupervised Deep Learning
- Exploring Model Evaluation Methods
- Explaining Neural Network Predictions
- Interpreting Neural Network
- Exploring Bias and Fairness
- Analyzing Adversarial Performance
- Deploying Deep Learning Models in Production
- Governing Deep Learning Models
- Managing Drift Effectively in a Dynamic Environment
- Exploring the DataRobot AI Platform
- Architecting LLM Solutions

Über Autor(innen)

Chin Ee Kin:
Ee Kin Chin is a Senior Deep Learning Engineer at DataRobot. He holds a Bachelor of Engineering (Honours) in Electronics with a major in Telecommunications. Ee Kin is an expert in the field of Deep Learning, Data Science, Machine Learning, Artificial Intelligence, Supervised Learning, Unsupervised Learning, Python, Keras, Pytorch, and related technologies. He has a proven track record of delivering successful projects in these areas and is dedicated to staying up to date with the latest advancements in the field.