Book Image

Caffe2 Quick Start Guide

By : Ashwin Nanjappa
Book Image

Caffe2 Quick Start Guide

By: Ashwin Nanjappa

Overview of this book

Caffe2 is a popular deep learning library used for fast and scalable training, and inference of deep learning models on different platforms. This book introduces you to the Caffe2 framework and demonstrates how you can leverage its power to build, train, and deploy efficient neural network models at scale. The Caffe 2 Quick Start Guide will help you in installing Caffe2, composing networks using its operators, training models, and deploying models to different architectures. The book will also guide you on how to import models from Caffe and other frameworks using the ONNX interchange format. You will then cover deep learning accelerators such as CPU and GPU and learn how to deploy Caffe2 models for inference on accelerators using inference engines. Finally, you'll understand how to deploy Caffe2 to a diverse set of hardware, using containers on the cloud and resource-constrained hardware such as Raspberry Pi. By the end of this book, you will not only be able to compose and train popular neural network models with Caffe2, but also deploy them on accelerators, to the cloud and on resource-constrained platforms such as mobile and embedded hardware.
Table of Contents (9 chapters)

Introduction and Installation

Welcome to the Caffe2 Quick Start Guide. This book aims to provide you with a quick introduction to the Caffe2 deep learning framework and how to use it for training and deployment of deep learning models. This book uses code samples to create, train, and run inference on actual deep learning models that solve real problems. In this way, its code can be applied quickly by readers to their own applications.

This chapter provides a brief introduction to Caffe2 and shows you how to build and install it on your computer. In this chapter, we will cover the following topics:

  • Introduction to deep learning and Caffe2
  • Building and installing Caffe2
  • Testing Caffe2 Python API
  • Testing Caffe2 C++ API