Nanjappa Caffe2 Quick Start Guide

Modular and scalable deep learning made easy
1. Auflage 2019
ISBN: 978-1-78913-826-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 136 Seiten

No detailed description available for "Caffe2 Quick Start Guide".

Autoren/Hrsg.

Nanjappa, Ashwin

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 Computer Vision

Inhaltsverzeichnis

Table of Contents - Introduction and Installation
- Composing Networks
- Training Networks
- Working with Caffe
- Working with Other Frameworks
- Deploying Models to Accelerators for Inference
- Caffe2 at the Edge and in the cloud

Über Autor(innen)

Nanjappa Ashwin:

Ashwin Nanjappa is a senior architect at NVIDIA, working in the TensorRT team on improving deep learning inference on GPU accelerators. He has a PhD from the National University of Singapore in developing GPU algorithms for the fundamental computational geometry problem of 3D Delaunay triangulation. As a post-doctoral research fellow at the BioInformatics Institute (Singapore), he developed GPU-accelerated machine learning algorithms for pose estimation using depth cameras. As an algorithms research engineer at Visenze (Singapore), he implemented computer vision algorithm pipelines in C++, developed a training framework built upon Caffe in Python, and trained deep learning models for some of the world's most popular online shopping portals.