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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HTTP/2基础教程
Stephen Ludin、Javier Garza / 罗正龙、郑维智 / 人民邮电出版社 / 2018-1 / 49.00元
让网站和应用更快速、更简洁、更稳健，从而有效提升用户体验，这无疑是众多开发者梦寐以求的。然而互联网发展日新月异，HTTP/1.1协议已经难以满足现今的需求。在众多Web性能提升方案中，HTTP/2值得尝试。 本书是HTTP/2实用指南，介绍了HTTP/2的设计初衷和新特性，以及如何才能充分利用这些特性来打造高性能网站及应用。作者用定量分析方法，对比了不同网络环境下及不同浏览器上HTTP/1.......一起来看看 《HTTP/2基础教程》 这本书的介绍吧!
