Intel® FPGA AI Suite: IP Reference Manual

ID 768974
Date 7/03/2023

A newer version of this document is available. Customers should click here to go to the newest version.

Document Table of Contents

2.1.1. MobileNet V2 differences between Caffe and TensorFlow models

There are two inverted bottlenecks (group of expand, depthwise, projection) in which TensorFlow has already gone down to 14x14 while Caffe is still at 28x28. This is the only place where the structure of the graph differs. TensorFlow also uses ReLU6, implemented with a clamp in the Intel® FPGA AI Suite IP, while Caffe uses ReLU.