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Sharpen your machine learning skills and create the future of artificial intelligence
Rely on the Intel® Nervana™ AI Academy to help you increase your knowledge base and put machine learning to use quickly, efficiently, and cost-effectively on Intel® architecture.
In this webinar, we describe various deep learning uses and highlight those in which Caffe* was used, and describe how Caffe is optimized for Intel® architecture.
In this webinar, we continue our exploration of deep learning topics including multilayer perceptron, convolutional neural networks, recurrent neural networks, cost functions, and back propogation.
Building AI: In-Depth with the Neon™ Framework
neon™ is a Python*-based deep learning framework designed for ease of use and extensibility on modern deep neural networks such as AlexNet, VGG, and GoogLeNet.
Learn more about the Intel® Student Developer Program for AI.
Learn how tools, libraries, and Intel® platforms are co-optimized for performance and inference - to classify, recognize, and process new inputs.
See practical examples and discover new opportunities to apply AI in the real world.
Join Intel® Nervana™ AI Academy student ambassadors as they talk about their AI research projects.
Join Daniel Whitenack, data scientist at Intel, as he implements a deep learning model locally using the Intel® Nervana™ platform and neon™ framework.
Join Jason Knight, a staff algorithms engineer at Intel, as he talks about the Intel® Nervana™ graph project as a solution for artificial intelligence challenges, such as image recognition and speech recognition.
Join us for demonstrations, speakers, and network opportunities.