Training


Sharpen your machine learning skills and create the future of artificial intelligence


Getting Started

Machine Learning 101

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.

Deep Learning 101

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.

Deep Learning 102: Neural Networks, Cost Functions, and More

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.

Deep Learning Frameworks

 

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.

Get Started

Data Science: Accelerate Your Algorithms

Collaborate and Learn with Intel

Learn more about the Intel® Student Developer Program for AI.

Sign Up

Deep Learning Inference

Learn how tools, libraries, and Intel® platforms are co-optimized for performance and inference - to classify, recognize, and process new inputs.

Learn More

Live Training

July: Portland AI Meetup

See practical examples and discover new opportunities to apply AI in the real world.

Explore AI Use Cases Using Maslow's Hierarchy of Needs
July: CVPR (Honolulu, Hawaii)

Join Intel® Nervana™ AI Academy student ambassadors as they talk about their AI research projects.

August: Webinar on Distributed Deep Learning with Python* and Pachyderm*

Join Daniel Whitenack, data scientist at Intel, as he implements a deep learning model locally using the Intel® Nervana™ platform and neon™ framework.

August: Intel® Nervana™ Graph: A Universal Tensor JIT Compiler Webinar

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.

August: International Conference on Machine Learning (Sydney, Australia)

Join us for demonstrations, speakers, and network opportunities.