Displaying 1-16 of 86 results for: deep learning

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Displaying 1-16 of 86 results for: deep learning

Displaying 1-16 of 86 results for: deep learning Deep Learning By Adam Gibson, Josh Patterson Publisher: O'Reilly Media Release Date: September 2015 Deep Learning By O'Reilly Media, Inc. Publisher: O'Reilly Media Release Date: June 16, 2015 Funda…

16 On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima 1609.04836v1

Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, Mikhail Smelyanskiy, Ping Tak Peter Tang Northwestern University & Intel code: https://github.com/keskarnitish/large-batch-training * SGD及其变种在batch size增大的时候会有泛化能力的明显下降 generalization drop/deg…

(转) Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance

Ensemble Methods for Deep Learning Neural Networks to Reduce Variance and Improve Performance 2018-12-19 13:02:45 This blog is copied from: https://machinelearningmastery.com/ensemble-methods-for-deep-learning-neural-networks/ Deep learning neural ne…

《Deep Learning》（深度学习）中文版开发下载

<Deep Learning>(深度学习)中文版开放下载 <Deep Learning>(深度学习)是一本皆在帮助学生和从业人员进入机器学习领域的教科书,以开源的形式免费在网络上提供, 这本书是由学界领军人物 Ian Goodfellow.Yoshua Bengio 和 Aaron Courville 合力打造. 书籍原版英文目录: Deep Learning Table of Contents Acknowledgements Notation 1 Introduction…

《Deep Learning》全书已完稿_附全书电子版

Deep Learning第一篇书籍最终问世了.站点链接: http://www.deeplearningbook.org/ Bengio大神的<Deep Learning>全书电子版在百度网盘下载: 链接: http://pan.baidu.com/s/1dFyiqBZ password: 63sg 另附Opencv的学习视频资料文档的分享链接: 链接: http://pan.baidu.com/s/1kVdDsoR password: s4cr 全书文件夹例如以下: Table of Co…

Deep Learning 16：用自编码器对数据进行降维_读论文“Reducing the Dimensionality of Data with Neural Networks”的笔记

前言论文“Reducing the Dimensionality of Data with Neural Networks”是深度学习鼻祖hinton于2006年发表于<SCIENCE >的论文,也是这篇论文揭开了深度学习的序幕. 笔记摘要:高维数据可以通过一个多层神经网络把它编码成一个低维数据,从而重建这个高维数据,其中这个神经网络的中间层神经元数是较少的,可把这个神经网络叫做自动编码网络或自编码器(autoencoder).梯度下降法可用来微调这个自动编码器的权值,但是只有在初始化权值…

Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - week1, Assignment(Regularization)

声明:所有内容来自coursera,作为个人学习笔记记录在这里. Regularization Welcome to the second assignment of this week. Deep Learning models have so much flexibility and capacity that overfitting can be a serious problem, if the training dataset is not big enough. Sure it do…