Vasilev Advanced Deep Learning with Python

Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
1. Auflage 2019
ISBN: 978-1-78995-271-1
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 468 Seiten

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

Autoren/Hrsg.

Vasilev, Ivan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik

Inhaltsverzeichnis

Table of Contents - The Nuts and Bolts of Neural Networks
- Understanding Convolutional Networks
- Advanced Convolutional Networks
- Object Detection and Image Segmentation
- Generative Models
- Language Modelling
- Understanding Recurrent Networks
- Sequence-to-Sequence Models and Attention
- Emerging Neural Network Designs
- Meta Learning
- Deep Learning for Autonomous Vehicles

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.