Lambda layers are useful when you need to do some operations on the previous layer but do not want to add any trainable weight to it. Lambda layer is an easy way to customize a layer to do simple arithmetic. Let say you want to add your own activation function (which is not built-in Keras) to a layer. Then you first need to define a function that will take the output from the previous layer as input and apply a custom activation function to it. We then pass this function to the lambda layer.
The edge will benefit from the developing frameworks--once the market coalesces around a leading framework. Edge computing architecture has become central to a variety of computing tasks. Edge provides lower latency and enables data-rich experiences, but at the same time, edge interoperability and standardization are key issues. To date, devices and apps on the edge enlist a variety of protocols and interfaces, which has perpetuated a Wild West at the edge. Edge architecture, which brings compute resources closer to the data and devices that need them, has been touted as a key paradigm beyond cloud computing.
Every company needs edge computing on its technology road map starting in 2019. While many of you may see edge as exclusive to IoT, its value is much wider and will prove as critical to driving up customer experience as content delivery networks (CDN) were in the early days of the web . . . Twenty-seven percent of global telecom decision makers, who responded this year to the Forrester Analytics Global Business Technographics Mobility Survey, 2018, said that their firms are either implementing or expanding edge computing in 2019. Many of these vendors will require new wireless tools and updated skill sets to achieve this digital transformation. This aligns to Verizon's recent employee buyout offer, as a result of which over 10,400 of its staff will be gone next year, driving nearly $10 billion in savings that it can apply to its edge-compute-empowered 5G network.
Ashish Nadkarni is a Program Vice President within IDCs worldwide infrastructure practice, managing research on Computing Platforms. Ashish takes a holistic view of compute in the datacenter, in the cloud and at the edge. His core research starts with a critical examination of evolving computing architectures and technologies, including disruptive trends such Heterogeneous, Accelerated, Edge and Quantum Computing. It is complemented by qualitative and quantitative research on current and next-gen workloads, server form factors and deployments, vertical and industry specific use cases, emerging computing architectures such as composable/disaggregated systems and rackscale design, cloud frameworks such as OpenStack, and datacenter initiatives like Open Compute. And finally, it is rounded off by touching upon on physical and virtual computing software, operating systems, cloud system software and software-defined compute.Previously, Ashish was a Practice Lead at GlassHouse Technologies, a vendor independent consulting firm where he focused on infrastructure-related strategy, design and implementation and managed services engagements.
Kevin Tubbs, PhD, is the Senior Vice President of Strategic Solutions Group at Penguin Computing. My mom and dad bought me a computer when I was very young, and I've always had an interest and knack for computers and tinkering. Through my education I consistently gravitated towards STEM fields and that led me to want to be involved in a more applied field. My background is physics and High Performance Computing (HPC). Having a love for computers early on allowed me to keep computer science at the forefront of any other science, math or engineering interest that I've had, which has led me to where I am today.