Vasilev Python Deep Learning

Understand how deep neural networks work and apply them to real-world tasks
3. Auflage 2023
ISBN: 978-1-83763-345-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 362 Seiten

No detailed description available for "Python Deep Learning".

Autoren/Hrsg.

Vasilev, Ivan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - Machine Learning – an Introduction
- Neural Networks
- Deep Learning Fundamentals
- Computer Vision with Convolutional Networks
- Advanced Computer Vision Applications
- Natural Language Processing and Recurrent Neural Networks
- The Attention Mechanism and Transformers
- Exploring Large Language Models in Depth
- Advanced Applications of Large Language Models
- Machine Learning Operations (ML Ops)

Über Autor(innen)

Vasilev Ivan:

Ivan Vasilev started working on the first open source Java deep learning library with GPU support in 2013. The library was acquired by a German company, with whom he continued its development. He has also worked as a machine learning engineer and researcher in medical image classification and segmentation with deep neural networks. Since 2017, he has focused on financial machine learning. He co-founded an algorithmic trading company, where he's the lead engineer. He holds an MSc in artificial intelligence from Sofia University St. Kliment Ohridski and has written two previous books on the same topic.