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Activity Recognition using Python, Tensorflow and Keras

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Note: The rhyme platform currently does not support webcams, so this is not a live project. This guided project is about human activity recognition using Python,TensorFlow2 and Keras. Human activity recognition comes under the computer vision domain. In this project you will learn how to customize the InceptionNet model using Tensorflow2 and Keras. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Feature: 1.Manually label images. 2. Learn how to use data augmentation normalization. 3. Learn about transfer learning using training the pre-trained model InceptionNet V3 on the data. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Explore the fundamentals of activity recognition with Python, Tensorflow, and Keras in this beginner-level course by Coursera. Spanning 120 minutes, this free IT & Computer Science course is perfect for those looking to delve into machine learning and AI. Join now and start your journey with expert guidance!