文件名称：深度学习重要论文
文件大小：9.46MB
文件格式：RAR
更新时间：2021-05-11 07:12:41
深度学习 论文
该包包含了alextnet，googlelenet, resnet等重要深度学习框架的论文以及涉及深度学习中解决梯度、优化等问题的经典论文
【文件预览】：
deep learning papers
----going deeper with convolutions.pdf(1.16MB)
----reduce the dimensionality of data with neural networks.pdf(361KB)
----deep neural networks for acoustic modeling in speech recognition.pdf(635KB)
----very deep convolutional networks for large-scale image recognition.pdf(195KB)
----a fast learning algorithm for deep belief nets.pdf(769KB)
----improving neural networks by preventing co-adaptation of feature detectors.pdf(1.59MB)
----towards end-to-end recognition with RNN.pdf(432KB)
----DL notes.docx(13KB)
----batch normalization.pdf(169KB)
----find the conversation killers-a predictive study of threadending posts.pdf(1.06MB)
----4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf(1.35MB)
----fast and accurate RNN acoustic models for speech recognition.pdf(322KB)
----Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf(1.24MB)
----speech recognition with deep RNN.pdf(435KB)
----deep residual learning for image recognition.pdf(800KB)