What Is Intel® Optimization for Caffe*

Overview

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added. There are various forks of Caffe branches that cover a variety of tasks.

Optimized for Intel® architecture, Intel® Optimization for Caffe* offers all the goodness of main Caffe with the addition of CPU optimized functionality and multi-node distributor training.

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How to Install Intel® Optimization for Caffe*

Training and Deploying Deep Learning Networks with Intel® Optimization for Caffe*

This tutorial provides detailed instructions on how to build Intel® Optimization for Caffe*, train deep network models using one or more compute nodes, and deploy networks. In addition, various functionalities of Caffe are explored in detail including how to fine-tune, extract and view features of different models, and use the Caffe Python* API.

Learn more by visiting Intel® AI Developer Program

Product and Performance Information

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Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

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