内容简介：Do you know that the Backpropagation algorithm was given in 1986 in the NatureAlso, the Convnets were first presented by Yann le cun in 1998 for digit classification where he used a single convolution layer. It was only later in 2012 that Alexnet populariz
Faster and Memory-Efficient PyTorch models using AMP
By just adding a few lines of Code
Mar 9 ·6min read
Do you know that the Backpropagation algorithm was given in 1986 in the Nature paper by Geoffrey Hinton?
Also, the Convnets were first presented by Yann le cun in 1998 for digit classification where he used a single convolution layer. It was only later in 2012 that Alexnet popularized Convnets by using multiple convolution layers to achieve state of the art on imagenet.
So what made them so famous just now and not before?
It is only with the vast computing resources at our disposal, were we able to experiment and utilize Deep Learning to its full potential in the recent past.
But are we using our computing resources well enough? Can we do better?
This post is about utilizing Tensor Cores and Automatic Mixed Precision for faster training of Deep Learning Networks.
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C++ Primer 中文版（第 4 版）
Stanley B.Lippman、Josée LaJoie、Barbara E.Moo / 李师贤、蒋爱军、梅晓勇、林瑛 / 人民邮电出版社 / 2006 / 99.00元
本书是久负盛名的C++经典教程，其内容是C++大师Stanley B. Lippman丰富的实践经验和C++标准委员会原负责人Josée Lajoie对C++标准深入理解的完美结合，已经帮助全球无数程序员学会了C++。本版对前一版进行了彻底的修订，内容经过了重新组织，更加入了C++ 先驱Barbara E. Moo在C++教学方面的真知灼见。既显著改善了可读性，又充分体现了C++语言的最新进展和当......一起来看看 《C++ Primer 中文版（第 4 版）》 这本书的介绍吧!
