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A Framework for Distributed Deep Learning Layer Design in Python

Year: 2015

Type: preprint

Abstract: In this paper, a framework for testing Deep Neural Network (DNN) design in Python is presented. First, big data, machine learning (ML), and Artificial Neural Networks (ANNs) are discussed to familiarize the reader with the importance of such a system. Next, the benefits and detriments of implementing such a system in Python are presented. Lastly, the specifics of the system are explained, and some experimental results are presented to prove the effectiveness of the system.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1510.07303

Author: McLeod, Clay

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1830847496

Cites: 1

Cited by: 3

Related to: 10