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返回到 Hand Gesture Recognition using Tensorflow and Keras

學生對 Coursera Project Network 提供的 Hand Gesture Recognition using Tensorflow and Keras 的評價和反饋

4.2
10 個評分
3 條評論

課程概述

Note: The rhyme platform currently does not support webcams, so this is not a live hand gesture recognition project. This guided project is about hand gesture recognition using Python,TensorFlow2 and Keras. Hand gesture recognition comes under the computer vision domain. In this project you will learn how to build a convolutional neural network(CNN) 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) Learn about data augmentation. 2) How to reshape data to fit a CNN. 3) Explanation of each layer in a CNN. 4) Create a Streamlit app to allow users to select a hand gesture and obtain the alphabet it represents using the model you trained. 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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PR
2021年3月16日

brilliant. thank you. more courses required in static and dynamic hand gesture too

AK
2021年5月24日

This is an amazing project, every deep learning intermediate may start with this.

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1 - Hand Gesture Recognition using Tensorflow and Keras 的 3 個評論(共 3 個)

創建者 Prashant R

2021年3月17日

brilliant. thank you. more courses required in static and dynamic hand gesture too

創建者 Ajay K

2021年5月25日

This is an amazing project, every deep learning intermediate may start with this.

創建者 Sagun S

2021年5月29日

T​he course is not ordered well. Data Processing should come second.