This hands-on training will enable attendees to walk away knowing how to build a deep learning solution using Intel® Optimized Caffe* and Tensorflow* and the Intel® AI DevCloud. Use Caffe to get started with a basic implementation of classifying cat or dog. Extend this model using Tensorflow and classify 25 different breeds of dogs and 12 different breeds of cats. Learn to implement the inference model on a CPU, GPU, and the Intel® Movidius™ Neural Compute Stick. Intel will be providing Neural Compute Sticks to all registered participants and the hardware is yours to keep at the end of the event.
Day 1: Hands-on dataset wrangling and training. Later in the day, there will be time for networking and refreshments.
Day 2: Deploy your model for inference on a CPU, GPU and a Neural Compute Stick using the Intel® Movidius™ SDK and the Intel® Computer Vision SDK
Ben Odom leads Intel’s Technical Developer Evangelist team, focused on highlighting, training and showcasing Intel products and tools to developers worldwide. Currently, a portion of Ben’s team have been heavily focused on Artificial Intelligence, developing coursework for Intel’s developer ecosystem and then delivering trainings for both industry and academic developers interested in using Intel’s optimized frameworks and libraries. Ben has been in the tech industry for over 20 years, and has a Master’s Degree in Computer Science and Engineering from Oregon Health Sciences University.
Rudy Cazabon has a Bachelors degree in Space Science (minor in Mechanical Engineering) from the Florida Institute of Technology; with graduate studies in Aerospace and Astronautics from Georgia Tech and Management Science from Stanford. Rudy has served as engineering manager and architect on projects such as Autodesk 3DS Max, Havok StudioTools, and the Project Offset game-engine slated for the then Intel Larrabee graphics architecture.
Meghana Rao is a Developer Evangelist with the Software and Services group at Intel. With her current focus on Artificial Intelligence, she works with universities and developers at large at evangelizing Intel’s AI portfolio and solutions helping them understand Machine Learning and Deep Learning concepts, building models using Intel optimized frameworks and libraries like Caffe*, Tensorflow* and Intel® Distribution of Python*. She has a Bachelor’s degree in Computer Science and Engineering and a Master’s degree in Engineering and Technology Management with past experience in embedded software development, Windows* app development and UX design methodologies.
Get the Platinum pass or the Training pass to add this course to your package. Early Price ends July 20.
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