Hands On Deep Learning and IoT Workshop | Mathworks
About This Video
In this workshop, we engage beginner and intermediate participants interested in getting started with Deep Learning and the Internet of Things (IoT). We’ll do hands-on exercises where you’ll use a webcam and a neural network to recognize images, aggregate data, and run real-time IoT analytics. Our goal is to get you excited about IoT and Deep Learning, and to set you up for success with various types of projects for work, school, and beyond.
This workshop was conducted by Louvere Walker-Hannon, Shruti Karulkar, & Sarah Mohamed from MathWorks.
In This Video
Application Engineering Senior Team Lead, MathWorks
Louvere Walker-Hannon is a MathWorks Senior Application Engineer, who provides direction and recommendations on technical workflows for various applications. She has a bachelor’s degree in Biomedical Engineering and a master’s degree in Geographic Information Technology with a specialization in Remote Sensing.
Senior Software Engineer, MathWorks
Sarah Mohamed is a Software Engineer at MathWorks working on deep learning interoperability. She develops tools that allow AI models to be exchanged and deployed among frameworks such as MATLAB, Pytorch, TensorFlow, and ONNX. In the past, she has also worked as an Application Support Engineer, where she interacted directly with customers developing deep learning applications. She obtained her M.Sc. in Computational Science and Engineering from Harvard University, and holds dual bachelor’s degrees in Computer Science and Biology from the University of Virginia. She has experience organizing and delivering hands-on workshops at the Grace Hopper Celebration, the world’s largest conference for women in computing, as well as TechTogether Boston, the largest student-led hackathon for women and nonbinary individuals in Boston.
Quality Engineering Manager, MathWorks
Shruti Karulkar is the Quality Engineering Manager MATLAB Hardware at MathWorks. Shruti’s team of highly creative engineers work to design and implement cutting-edge tools to qualify MATLAB and Simulink support for hardware ranging from simple – Arduino/Raspberry Pi/iOS and Android phones – to high-end RF Signal Generators. Shruti has a long history of serving as a STEM mentor and is a STEM Ambassador for MathWorks. Shruti was a Speaker at GHC18, GHC19 and GHC20 delivering successful and popular hands-on AI workshops.