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About this course
- Class Overview
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Syllabus & Downloads
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Introduction/Agenda 3 min
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Introduction to Machine Learning and Deep Learning 8 min
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Object Detection 4 min
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Development Flow 2 min
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Model Selection 5 min
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Dataset Preparation 1 min
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Training the Model in Google® Colab 36 min
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Deploying on MPU 4 min
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Object Detection Demonstration 10 min
- Complete Recording
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25032 AIML3 (73 min)
- Feedback and Discussion
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Get in contact with the presentation team
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25032 AIML3: Machine Learning and Object Detection with TensorFlow (August 2025)
This session offers a practical introduction to machine learning (ML) and object detection using TensorFlow.
This session offers a practical introduction to machine learning (ML) and object detection using TensorFlow. We will demonstrate will using Google Colab to create a ML application, simulate and test your model using TensorFlow, and deploy the model to an MPU using TensorFlow Lite. By the end of the session, you have a better understanding of how to design, train, and deploy real-world object detection systems using TensorFlow and embedded Linux platforms.
Prerequisites:
none