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Hand Gesture Recognition using Tensorflow and Keras(으)로 돌아가기

Coursera Project Network의 Hand Gesture Recognition using Tensorflow and Keras 학습자 리뷰 및 피드백

4.2
별점
10개의 평가
3개의 리뷰

강좌 소개

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....

최상위 리뷰

PR
2021년 3월 16일

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

AK
2021년 5월 24일

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

필터링 기준:

Hand Gesture Recognition using Tensorflow and Keras의 3개 리뷰 중 1~3

교육 기관: Prashant R

2021년 3월 17일

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

교육 기관: Ajay K

2021년 5월 25일

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

교육 기관: Sagun S

2021년 5월 29일

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