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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免费:商业的未来
Chris Anderson / 中信出版集团 / 2015-10-1 / 35.40
《免费》，这是一个商业模式不断被颠覆、被改写的时代。一种商业模式既可以统摄未来市场，也可以挤垮当前市场——在我们这个现代经济社会里，这并不是一件不可能的事情。“免费”就是这样的一种商业模式，它代表了互联网时代的商业未来。 “免费”商业模式是一种建立在以电脑字节为基础上的经济学，而非过去建立在物理原子基础上的经济学。在原子经济中，随着时间的推移，我们周围的物品都在逐渐升值。但是在字节经济的网络......一起来看看 《免费:商业的未来》 这本书的介绍吧!
