Training ‘complex multi-layer’ neural networks is referred to as deep-learning as these multi-layer neural architectures interpose many neural processing layers between the input data and the predicted output results – hence the use of the word deep in the deep-learning catchphrase.
While the training procedure is computationally expensive, evaluating the resulting trained neural network is not, which explains why trained networks can be extremely valuable as they have the ability to very quickly perform complex, real-world pattern recognition tasks on a variety of low-power devices including security cameras, mobile phones, wearable technology. These architectures can also be implemented on FPGAs …
Boosting Deep Learning with the Intel Scalable System Framework was written by Nicole Hemsoth at The Next Platform.
Setting up a WiFi network is much more complex than the simple exercise it's often portrayed as.
Understand the limits of storage hardware when managing virtual workloads.
Why worry about SDN when 4G is still being deployed?
I’ve lived in Durham, North Carolina since 1999 — I love it here, and I’ve finally found home. It’s been recognized as Tastiest Town, a Different Kind of Silicon Valley and one of the Best Places to Live. But it wasn’t always like that. Durham rose up from the ashes of failed tobacco and textile industries to a modern hub of medicine, research, and high-tech firms. Despite Durham’s rise over the past 10 years, non-Durhamites around the Research Triangle remember the Durham of old and are skeptical of it’s newfound success and reputation as a progressive yet gritty town.
The parallels between the rise of Durham’s revitalization and OpenStack’s popularity are uncanny. You still hear the following comments today:
“Why do you live in Durham, are you crazy?”
“How can you trust OpenStack community developers and run it in production?”
Enterprises continue to be skeptical of OpenStack’s production worthiness, but many companies are betting their businesses on this project. DreamHost, a Cumulus Linux customer, has been running a state-of-the-art OpenStack deployment for over two years. They automate their entire data center with Chef, leveraging Infrastructure as Code principles. Many others use standard DevOps Continue reading
Hyperscalers and cloud builders are different in a lot of ways from the typical enterprise IT shop. Perhaps the most profound one that has emerged in recent years is something that used to be only possible in the realm of the most exotic supercomputing centers, and that is this: They get what they want, and they get it ahead of everyone else.
Back in the day, before the rise of mass customization of the Xeon product line by chip maker Intel, it was HPC customers who were often trotted out as early adopters of a new processor technology and usually …
Hyperscalers And Clouds On The Xeon Bleeding Edge was written by Timothy Prickett Morgan at The Next Platform.
Other software load balancers are "a good start," says Google.
I’ll be speaking at Interop 2016 on the topic Engineer versus Complexity. The slides are final yet, so I’m not entirely certain what all this is going to include—which means this will be an exciting talk. Feel free to ping me if you’re going to be there.
The post Interop Las Vegas 2016 appeared first on 'net work.