You're reading from Caffe2 Quick Start Guide

Product typeBook

Published inMay 2019

Reading LevelBeginner

PublisherPackt

ISBN-139781789137750

Edition1st Edition

Languages

C++

Tools

Caffe

Concepts

Deep Learning

Author (1)

Ashwin Nanjappa

Summary

Congratulations! This chapter provided a brief introduction to deep learning and Caffe2. We examined the process of building and installing Caffe2 on our system. We are now ready to explore the world of deep learning by building our own networks, training our own models, and using them for inference on real-world problems.

In the next chapter, we will learn about Caffe2 operators and learn how to compose them to build simple computation graphs. We will then proceed to build a neural network that can recognize handwritten digits.

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Caffe2 Quick Start Guide

Published in: May 2019Publisher: PacktISBN-13: 9781789137750

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Author (1)

Ashwin Nanjappa

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.
Read more about Ashwin Nanjappa

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