Algorithmic as well as Space and Time comparison of various Deep Learning Algorithms

Waheed Javed, Gulnaz Parveen, Sobia Bilal
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Abstract

Deep learning is an artificial intelligence subfield within machine learning. Now- a-days, deep learning has been used in various applications like computer vision, natural language processing, speech recognition, social network filtering, neural machine translation, etc. Deep learning, Convolutional Neural Network (CNN) is a set of deep neural networks mainly designed for image analysis. Deep learning strong ability is mainly due to multiple feature extraction. In this pa- per, we will discuss and compare AlexNet,VGGNet-16,Residual Network(ResNet-50,101,152).
算法以及各种深度学习算法的时空比较
深度学习是机器学习中人工智能的一个子领域。如今,深度学习已被广泛应用于计算机视觉、自然语言处理、语音识别、社交网络过滤、神经机器翻译等领域。深度学习,卷积神经网络(CNN)是一组主要为图像分析而设计的深度神经网络。深度学习能力强主要是由于多特征提取。在本文中,我们将讨论和比较AlexNet,VGGNet-16,残余网络(ResNet-50,101,152)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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