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学生对 Coursera Project Network 提供的 Hand Gesture Recognition using Tensorflow and Keras 的评价和反馈

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10 个评分
3 条评论

课程概述

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....

热门审阅

PR
Mar 16, 2021

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

AK
May 24, 2021

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 个评论(共 3 个)

创建者 Prashant R

Mar 17, 2021

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

创建者 Ajay K

May 25, 2021

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

创建者 Sagun S

May 29, 2021

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