[Udacity] Intel® Edge AI for IoT Developers

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Intel® Edge AI for IoT Builders

Intel® Edge AI for IoT Developers – Lead the event of cutting-edge Edge AI functions for the way forward for the Web of Issues. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track growth of high-performance laptop imaginative and prescient & deep studying inference functions.

Intel® Edge AI for IoT Builders

Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track growth of high-performance laptop imaginative and prescient and deep studying inference functions, and run pre-trained deep studying fashions for laptop imaginative and prescient on-premise. You’ll establish key {hardware} specs of assorted {hardware} sorts (CPU, VPU, FPGA, and Built-in GPU), and make the most of the Intel® DevCloud for the Edge to check mannequin efficiency on the assorted {hardware} sorts. Lastly, you’ll use software program instruments to optimize deep studying fashions to enhance efficiency of Edge AI programs.

PREREQUISITE KNOWLEDGE

Intel® Edge AI for IoT Developers program requires intermediate knowledge of Python, and experience with Deep Learning, Command Line, and OpenCV.

Edge AI Fundamentals with OpenVINO™

Leverage a pre-trained model for computer vision inferencing. You’ll convert pre-trained models into the framework agnostic intermediate illustration with the Mannequin Optimizer, and carry out environment friendly inference on deep studying fashions by way of the hardware-agnostic Inference Engine. Lastly, you’ll deploy an app on the sting, together with sending data by way of MQTT, and analyze mannequin efficiency and use circumstances

{Hardware} for Computer Vision & Deep Learning Application Deployment

Develop your experience in choosing the proper {hardware}. Determine key {hardware} specs of assorted {hardware} sorts (CPU, VPU, FPGA, and Built-in GPU). Make the most of the Intel® DevCloud for the Edge to check mannequin efficiency and deploy power-efficient deep neural community inference on on the assorted {hardware} sorts. Lastly, you’ll distribute workload on accessible compute gadgets so as to enhance mannequin efficiency.

Optimization Techniques and Instruments for Pc Imaginative and prescient & Deep Studying Purposes

Intel® Edge AI for IoT Developers Learn to optimize your mannequin and software code to cut back inference time when operating your mannequin on the edge. Use totally different software program optimization methods to enhance the inference time of your mannequin. Calculate how computationally costly your mannequin is. Use the DL Workbench to optimize your mannequin and benchmark the efficiency of your mannequin. Use a VTune amplifier to seek out and repair hotspots in your software code. Lastly, bundle your software code and information in order that it may be simply deployed to a number of gadgets.

What’s Edge AI? What are some applications of this technology?

Edge Computing runs processes regionally on the gadget itself, as a substitute of operating them within the cloud. This decreased computing time permits information to be processed a lot quicker, removes the safety threat of transferring the information to a cloud-based server, and reduces the price of information switch, in addition to the dangers of bandwidth outages disrupting efficiency.

Intel® Edge AI for IoT Developers imaginative and prescient and AI on the edge have gotten instrumental in powering the whole lot from manufacturing facility meeting strains and retail stock administration, to hospital pressing care medical imaging gear like X-ray and CAT scans. Drones, safety cameras, robots, facial recognition on cell telephones, self-driving automobiles, and extra all make the most of this expertise as properly.

In line with IEEE Innovation at Work, “By 2020, roughly 20+ billion gadgets will possible be linked by way of the Web of Issues (IoT), creating unbelievable quantities of knowledge each minute. The time it takes to maneuver information to the cloud, carry out service on it after which transfer it again to gadgets is much too lengthy to fulfill the growing wants of the IoT. In contrast to cloud computing, which depends on a single information middle, edge computing works with a extra distributed community, eliminating the round-trip journey to the cloud and providing real-time responsiveness and native authority.

It retains the heaviest site visitors and processing closest to the end-user software and gadgets – smartphones, tablets, house safety programs, and extra – that generate and eat information. This dramatically reduces latency and results in real-time, automated decision-making.

What’s the InteI® DevCloud for the Edge?

The Intel® DevCloud for the Edge means that you can actively prototype and experiment with AI workloads for laptop imaginative and prescient on Intel® {hardware}.
You might have full entry to {hardware} platforms hosted in our cloud atmosphere, designed particularly for deep studying. You may take a look at the efficiency of your fashions utilizing the Intel® Distribution of OpenVINO™ Toolkit and combos of CPUs, GPUs, VPUs such because the Intel® Neural Compute Stick 2 (NCS2) and FPGAs, such because the Intel® Arria® 10. The Intel® DevCloud for the Edge accommodates a sequence of Jupyter pocket book tutorials and examples preloaded with the whole lot you wanted to rapidly get began.

Intel® Edge AI for IoT Developers This consists of skilled fashions, pattern information and executable code from the Intel® Distribution of OpenVINO™ Toolkit in addition to different instruments for deep studying. These notebooks are designed that will help you rapidly learn to implement deep studying functions to allow compelling, high-performance options. Intel® has AI {hardware} ready on your prototyping of edge inference jobs.
No {hardware} setup is required in your finish. The Intel® DevCloud for the Edge makes use of Jupyter
 Notebooks to execute code instantly inside the Internet browser.

Jupyter is a browser-based growth atmosphere which lets you run code and instantly visualize outcomes. You may prototype modern laptop imaginative and prescient options in our cloud atmosphere, then execute your code on any of Intel’s® accessible mixture of {hardware} sources.

What’s the Intel® Distribution of OpenVINO™ Toolkit and the Deep Learning Workbench?

You’ll be able to deploy excessive efficiency, deep studying inference with the Intel® Distribution of OpenVINO™ Toolkit.
The Intel® Distribution of OpenVINO™ Toolkit means that you can harness the total potential of AI and laptop imaginative and prescient throughout a number of Intel® architectures to allow new and enhanced use circumstances in well being and life sciences, retail, industrial and extra. Develop functions and options that emulate human imaginative and prescient with the Intel® Distribution of OpenVINO™ toolkit. Primarily based on convolutional neural networks (CNN), the toolkit extends workloads throughout Intel® {hardware} (together with accelerators) and maximizes efficiency.

  • Permits deep studying inference from edge to cloud
  • Accelerates AI workloads, together with laptop imaginative and prescient, audio, speech, language, and advice programs
  • Helps heterogeneous execution throughout Intel® structure and AI accelerators—CPU, iGPU, Intel® Movidius™ Imaginative and prescient Processing Unit (VPU), FPGA, and Intel® Gaussian & Neural Accelerator (Intel® GNA)—utilizing a typical API
  • Hastens time to market by way of a library of features and pre-optimized kernels
  • Contains optimized requires OpenCV, OpenCL™ kernels, and different trade instruments and libraries.


The DL Workbench, a part of the Intel® Distribution of OpenVINO™ Toolkit, is a web-based graphical atmosphere that allows customers to visualise a simulation of efficiency of deep studying fashions and datasets on varied Intel® structure configurations (CPU, GPU, VPU). As well as, customers can routinely fine-tune the efficiency of an Intel® Distribution of OpenVINO™ Toolkit mannequin by decreasing the precision of sure mannequin layers (calibration) from FP32 to INT8. Further tuning algorithms might be supported in future releases.

What makes the Intel® Edge AI for IoT Developers Nanodegree program unique?

The Intel® Distribution of OpenVINO™ Toolkit is for builders seeking to deploy deep studying fashions on {hardware} with Intel® chips. College students will be capable to work together with Intel’s® IoT growth platform to optimize the efficiency of their {hardware} utilizing the DL Workbench. By way of Udacity’s interactive workspaces, you’ll ship jobs to Intel® DevCloud for the Edge and see how totally different {hardware} performs in actual time.

Deploying AI fashions on the Edge requires a selected set of instruments that suppliers comparable to Intel® have constructed. By way of Udacity’s hands-on workouts that combine with Intel’s® platform, college students will be capable to truly apply testing AI mannequin efficiency on {hardware} with no need entry to the {hardware}.

The Intel® DevCloud for the Edge is a cloud-based platform that permits you to deploy machine studying fashions on {hardware} within the cloud earlier than you buy the precise {hardware} so that you take a look at and examine the efficiency of various {hardware}.

[Udacity] Intel® Edge AI for IoT Developers

[Udacity] Intel® Edge AI for IoT Developers

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