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)

Building and installing Caffe

The version of Caffe maintained by BVLC can be freely downloaded from https://github.com/BVLC/caffe. A GPU-optimized fork of Caffe maintained by NVIDIA can be downloaded from https://github.com/NVIDIA/caffe. For the remainder of this discussion, we will use BVLC Caffe, though NVIDIA Caffe should also build and work similarly.

Note that Caffe offers building using CMake or Make. We look at the CMake build process in this book. If you want Caffe to use the GPU, you will need to have CUDA and cuDNN libraries already installed.

Installing Caffe prerequisites

Install the following prerequisites:

  1. First, install the libraries that Caffe depends on:
$ sudo apt install libboost-all-dev libprotobuf-dev...