Transfer learning for image classification

Paper Title:

Distributed Transfer Learning with 4th Gen Intel Xeon Processors

Published on:

10 October 2023

Primary Category:

Distributed, Parallel, and Cluster Computing

Paper Authors:

Lakshmi Arunachalam,

Fahim Mohammad,

Vrushabh H. Sanghavi

Bullets

Key Details

•

Transfer learning builds on existing knowledge from pre-trained models

•

Case study classifies cancer tissue with 94.5% accuracy using ResNet on TensorFlow

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Intel Xeon CPUs challenge GPU-centric training mindset

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Mixed precision with Intel AMX and Horovod distribution optimize performance

Explore the topics in this paper

distributed training

image classification

performance optimization

pre-trained models

transfer learning

AI generated summary

Transfer learning for image classification

This paper explores transfer learning for image classification, showing how pre-trained models can enable high accuracy with minimal training time and resources. The authors demonstrate a case study classifying cancer tissue types, achieving 94.5% accuracy using ResNet and TensorFlow on Intel Xeon CPUs. They highlight techniques like mixed precision with Intel AMX and distributed training with Horovod to optimize performance.