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Volver a Hand Gesture Recognition using Tensorflow and Keras

Opiniones y comentarios de aprendices correspondientes a Hand Gesture Recognition using Tensorflow and Keras por parte de Coursera Project Network

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10 calificaciones
3 reseña

Acerca del Curso

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....

Principales reseñas

PR
16 de mar. de 2021

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

AK
24 de may. de 2021

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

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1 - 3 de 3 revisiones para Hand Gesture Recognition using Tensorflow and Keras

por Prashant R

17 de mar. de 2021

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

por Ajay K

25 de may. de 2021

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

por Sagun S

29 de may. de 2021

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