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)

Caffe2 in the cloud using containers

Containers are now a ubiquitous and necessary tool for robustly deploying software in production, both locally and in the cloud. They enable developers to create the ideal software environment for the application and ensure that this software environment is exactly replicated on developer workstations, test computers, staging computers, and the final deployment to local servers or instances in the cloud. Containers also help create a sanitized software environment for every single application, enabling multiple software environments, one for each application, when multiple applications are running on the same server.

Among the many available container tools, Docker is the most popular. We will focus on using Docker in this section. Docker is available for all popular Linux distributions, macOS X, and Windows. With Docker, you can create an...