https://github.com/trilokida/hand_sign_language_recognition

https://github.com/trilokida/hand_sign_language_recognition

adam-optimizer alexnet classification-model cnn convolutional-neural-networks deep-neural-networks dropout hand-sign keras python3 sgd-momentum sgd-optimizer sign sign-language sign-language-recognition

Last synced: 8 days ago
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• Host: GitHub
• URL: https://github.com/trilokida/hand_sign_language_recognition
• Owner: TrilokiDA
• Created: 2018-11-09T05:04:28.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2020-09-14T14:37:25.000Z (over 4 years ago)
• Last Synced: 2024-11-16T10:13:56.338Z (2 months ago)
• Topics: adam-optimizer, alexnet, classification-model, cnn, convolutional-neural-networks, deep-neural-networks, dropout, hand-sign, keras, python3, sgd-momentum, sgd-optimizer, sign, sign-language, sign-language-recognition
• Language: Jupyter Notebook
• Homepage:
• Size: 1.76 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hand Sign Language Classification using AlexNet

## Abstract

Understanding the exact context of symbolic expressions of deaf and dumb people is the challenging job in real life until unless it is properly specified. This problem finds a communication gap between the people belonging to different community. The objective of this project is to identify the symbolic expression through images so that the communication gap between a normal and hearing impaired person can be easily bridged.

### PPT

[Link](https://www.slideshare.net/TrilokiGupta/mtech-final-projectppt)

### LinkedIn

[Triloki Gupta](https://www.linkedin.com/in/trilokicse/)