Ravichandiran Hands-On Meta Learning with Python

Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
1. Auflage 2018
ISBN: 978-1-78953-702-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 226 Seiten

No detailed description available for "Hands-On Meta Learning with Python".

Autoren/Hrsg.

Ravichandiran, Sudharsan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Table of Contents - Introduction to Meta Learning
- Face and Audio Recognition using Siamese Network
- Prototypical Network and its variants
- Building Matching and Relation Network using Tensorflow
- Memory Augmented Networks
- MAML and its variants
- Meta-SGD and Reptile ALgorithm
- Gradient Agreement as an Optimization Objective
- Recent Advancements and Next Steps

Über Autor(innen)

Ravichandiran Sudharsan:

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.