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The CEC will get you up to speed quickly on a host of technologies you've been meaning to study via a series of 45-minute online lessons taught by our faculty of expert tutors.
Creating a model and testing it is great, but it’s not complete until the inference is deployed on a target and ran in the real world. In this session, we will examine how to deploy a model onto an STM32 development board and integrate it with...
Training a network isn’t a trivial endeavor. It often requires as much art as it does science in order to be successful. In this session, we will continue to explore how to train a model. We will discuss how to test the model and determine how...
Once developers have the data they want to use and have captured and labeled an adequate dataset, its time to train a model. In this session, we will start to investigate the tools developers can use to build a machine learning model. We will...
Training a ML model requires that a developer capture, clean and label data. This requires a developer to not only carefully select their dataset, but also figure out how it will be processed on the target. In this session, we will explore how to...