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Besides North America, dialects of ASL and ASL-based creoles are used in many countries around the world, including much of West Africa and parts of Southeast Asia. ASL is also widely learned as a second language, serving as a lingua franca.\n\n### Data\n\nTo Download the ASL dataset -\n   * Click on the link given - https://www.kaggle.com/grassknoted/asl-alphabet\n   * Click on the link given - https://facundoq.github.io/unlp/sign_language_datasets/index.html\n   \n   \n## Getting Started\n\u003cimg src = \"images/asl.png\"\u003e\n\nWe will be using Python and Tensorflow to build model to classify signs ASL. The tensorflow graph of the architecture can be shown as:\n\u003cimg src = \"images/graph_run.png\"\u003e\n\n\n### CNN Architecture\n* Input\n*  ⇊\n* Convolution layer: 4x4 kernel , 8 filters\n* Maxpooling: pool size – 8x8\n* Convolution layer: 2x2 kernel , 16 filters \n* Maxpooling: pool size – 4x4\n* Flatten\n* Fully Connected\n\n## Authors\n\n* **Mrityunjay Tripathi**\n\n## License\n\nThis project is licensed under the Apache 2.0 License - see the [License](https://github.com/Mrityunjay2668/American-Sign-Language-Classification/blob/master/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrityunjay-tripathi%2Fasl-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrityunjay-tripathi%2Fasl-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrityunjay-tripathi%2Fasl-classification/lists"}