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Addition of Recurrent Neural Networks (RNNs) in Deep Learning #3654

Closed Shantnu-singh closed 1 month ago

Shantnu-singh commented 1 month ago

Is there an existing issue for this?

Feature Description

This feature will provide comprehensive documentation on Recurrent Neural Networks (RNNs). This will include detailed explanations of their architecture, functionality of RNN. This will also cover use cases, advantages, and limitations of RNNs, along with practical examples and code implementations using popular TensorFlow.

Use Case

This feature is valuable for students, educators, and developers aiming to understand and implement RNNs in their projects. Students can leverage the documentation for learning and assignments, educators can incorporate it into their teaching materials, and developers can use it as a reference for building time-series models, natural language processing applications, and other tasks that benefit from sequential data processing.

Benefits

No response

Add ScreenShots

No response

Priority

High

Record

github-actions[bot] commented 1 month ago

Hi @Shantnu-singh! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!

github-actions[bot] commented 1 month ago

Hello @Shantnu-singh! Your issue #3654 has been closed. Thank you for your contribution!