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The proposed methodology encompasses data loading, data preprocessing, and\nmodel training.\n![Screenshot 2024-08-21 220201](https://github.com/user-attachments/assets/1c1f007b-1e43-403d-86ba-867477ea096d)\n## Convolutional Neural Network:\n![Screenshot 2024-08-21 220304](https://github.com/user-attachments/assets/2eb27458-5fa5-4d4a-b3e4-1da380a150d1)\n\n## Bi-Directional LSTM architecture\n![Screenshot 2024-08-21 220423](https://github.com/user-attachments/assets/83b493c3-d91a-4699-91e8-c18532958f18)\n\n## Total Architecture\n![update](https://github.com/user-attachments/assets/b12774e1-eb09-4e14-b720-dae62bc78189)\n\n## Performence Evaluation\n![acuracy](https://github.com/user-attachments/assets/2a6152a5-cce2-468e-b136-9681306b25d0)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrfoxak%2Fevaluate-lip-reading-using-deep-learning-techniques.","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrfoxak%2Fevaluate-lip-reading-using-deep-learning-techniques.","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrfoxak%2Fevaluate-lip-reading-using-deep-learning-techniques./lists"}