Kick starting TensorFlow With Intel® AI Analytics Toolkit(Beta) Powered by oneAPI
Ali Mustufa Shaikh
Mumbai, Maharashtra
- 0 Collaborators
Try your hands on Some amazing SOTA Models with Intel® one API in your browser without any installation; In this project, I am covering 3 Models from Intel Model Zoo and evaluating them powered by Intel® oneAPI platform! ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence
Intel Technologies
DevCloud,
oneAPI,
Intel Opt ML/DL Framework,
MKL
Overview / Usage
Demonstrating Different Models of Intel Model Zoo using the Intel AI Analytics Toolkit on the DevCloud
- Inception V4
- ResNet50
- ResNet101
The process is very simple and you can get started without any installation's right into the browser.
Follow these steps:
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Request Access to the DevCloud ( https://intelsoftwaresites.secure.force.com/devcloud/oneapi )
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Goto Connection options (Connect in Menu) and select your preferred option (I selected Connect with JupyterLab->One-click Log In).
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Click on Launch Server (It will take 3 seconds to bootup)
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Select the type of Kernel and You are all set!
Methodology / Approach
I am just demonstrating a simple use case of Intel AI Analytics Toolkit on the DevCloud with Intel Model Zoo and TensorFlow. As I explore the platform will add more projects centered heavily on oneAPI usage with DevCloud.
Technologies Used
**Intel® oneAPI Toolkits(Beta) **
Intel® oneAPI products will deliver the tools needed to deploy applications and solutions across these architectures. Its set of complementary toolkits—a base kit and specialty add-ons—simplify programming and help developers improve efficiency and innovation. The core Intel® oneAPI DPC++ Compiler and libraries implement the oneAPI industry specifications available at oneapi.com.
TensorFlow
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
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