深度学习算法实验平台构建的研究与实践

Hehai Yu
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引用次数: 0

摘要

本文对深度学习算法实验平台的构建进行了研究与实践。构建深度学习算法实验平台的研究与实践是一项旨在为深度学习领域的研究与实践开发一个软件平台的项目。该平台的主要目的是促进与来自世界各地的研究人员、开发人员、学生和从业人员的交流。通过这个平台,我们希望提高我们对铝技术及其应用的了解。深度学习是基于人工神经网络的机器学习。机器学习方法也可以分为监督学习和无监督学习。例如,卷积神经网络是监督学习下的机器学习模型,深度置信网络是无监督学习下的机器学习模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research and Practice on the construction of deep learning algorithm experimental platform
This paper studies the research and practice of the construction of deep learning algorithm experimental platform. The research and practice of the construction of deep learning algorithm experimental platform is a project aimed at developing a software platform for the research and practice in the field of deep learn-ing. The main purpose of this platform is to promote communication with researchers, developers, students and practitioners from all over the world. Through this platform, we hope to improve our understanding of alu-minum technology and its applications. Deep learning is machine learning based on artificial neural network. Machine learning methods can also be divided into su-pervised learning and unsupervised learning. For exam-ple, convolutional neural network is a machine learning model under supervised learning, and deep confidence network is a machine learning model under unsupervised learning.
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