Hand Gesture Recognition using Tensorflow and Keras
Gesture recognition meets AI! Discover how to harness the power of Tensorflow and Keras to recognize hand gestures and bring a new dimension to human-computer interaction. #HandGestureRecognition #TensorFlow #AIInnovation ▼
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Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
14th Mar, 2022
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 31st, 2023]
What does this course tell?
(Please note that the following overview content is from Alison)
This project is about hand gesture recognition using Python, TensorFlow2 and Keras. It will teach you how to build a convolutional neural network (CNN) and use data augmentation, reshape data, and explain each layer in a CNN. You will also create a Streamlit app to allow users to select a hand gesture and obtain the alphabet it represents. This project is best for learners in North America, but we are working on providing the same experience in other regions. Note: Webcams are not supported.
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
Through this course, learners will acquire the skills and knowledge to build a convolutional neural network (CNN) using TensorFlow2 and Keras. They will learn about data augmentation, how to reshape data to fit a CNN, and the explanation of each layer in a CNN. Additionally, learners will create a Streamlit app to allow users to select a hand gesture and obtain the alphabet it represents using the model they have trained.
lHow does this course contribute to professional growth?
This course provides an opportunity for professional growth by teaching learners how to build a convolutional neural network (CNN) using TensorFlow2 and Keras. Learners will gain an understanding of data augmentation, how to reshape data to fit a CNN, and an explanation of each layer in a CNN. Additionally, learners will create a Streamlit app to allow users to select a hand gesture and obtain the alphabet it represents using the model they have trained. This course is best suited for learners based in the North America region.
Is this course suitable for preparing further education?
This guided project is suitable for those looking to prepare for further education in the computer vision domain. It provides learners with the opportunity to learn how to build a convolutional neural network (CNN) using TensorFlow2 and Keras. Learners will also gain knowledge on data augmentation, reshaping data to fit a CNN, and an explanation of each layer in a CNN. Additionally, learners will be able to create a Streamlit app to allow users to select a hand gesture and obtain the alphabet it represents using the model they have trained. This project works best for learners based in the North America region.
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