The latest articles on DEV Community by Eldor Abdukhamidov (@eldorabdukhamidov). https://dev.to/eldorabdukhamidov https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F391709%2F07806235-00db-4d2d-a980-cf1108a1fe5b.jpeg https://dev.to/eldorabdukhamidov en Eldor Abdukhamidov Thu, 21 May 2020 08:37:17 +0000 https://dev.to/eldorabdukhamidov/my-project-for-github-graduation-5ejp https://dev.to/eldorabdukhamidov/my-project-for-github-graduation-5ejp <h1> <strong>TV Script Generation using RNN</strong> </h1> <p>During studying one of Udacity Nanodegree Program. I was asked to make a project that generates TV scripts using <strong>Recurrent Neural Network</strong>. In the project, <a href="https://www.kaggle.com/thec03u5/seinfeld-chronicles#scripts.csv">Seinfeld Dataset</a> is used to train a model. The project generates a new "fake" TV script based on the pattern it recognizes in the training data. The project is well-documented so that you will not have any difficulty to understand the code. I hope you like it. </p> <h2> Link to the Project </h2> <div class="ltag-github-readme-tag"> <div class="readme-overview"> <h2> <img src="https://res.cloudinary.com/practicaldev/image/fetch/s--vWogaON8--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://practicaldev-herokuapp-com.freetls.fastly.net/assets/github-logo-28d89282e0daa1e2496205e2f218a44c755b0dd6536bbadf5ed5a44a7ca54716.svg" alt="GitHub logo"> <a href="https://github.com/eldorabdukhamidov"> eldorabdukhamidov </a> / <a href="https://github.com/eldorabdukhamidov/TV-Script-Generation-using-RNN"> TV-Script-Generation-using-RNN </a> </h2> <h3> </h3> </div> <div class="ltag-github-body"> <div id="readme" class="md"> <h2> Deep Learning Nanodegree Foundation Project From Udacity</h2> <h2> RNN for TV Script Generation</h2> <p>In this project, you can learn to generate your own Seinfeld TV scripts using RNNs. Part of the Seinfeld dataset of scripts from 9 seasons is used for this project. The Neural Network generates a new ,"fake" TV script, based on patterns it recognizes in this training data.</p> <h2> Libraries utilized</h2> <ul> <li> <strong>NumPy</strong> - a fundamental package for scientific computing in python</li> <li> <strong>Pandas</strong> - an ease-to-use python library for manipulating data structures and performing data analysis</li> <li> <strong>Jupyter Notebook</strong> - a tool that allows the creation of documents with live code</li> <li> <strong>Matplotlib</strong> - a plotting library for the Python programming language and its numerical mathematics extension NumPy.</li> <li> <strong>PyTorch</strong> - an open source machine learning library</li> </ul> <h2> Download Datasets</h2> <p>Download the <a href="https://www.kaggle.com/thec03u5/seinfeld-chronicles#scripts.csv" rel="nofollow">Seinfeld dataset</a>. Place the file in this project's home directory, at the location <em>/data</em>.</p> <h2> Instruction</h2> <ol> <li>Install <a href="https://www.anaconda.com/distribution/" rel="nofollow">Anaconda</a>.</li> <li>Download the…</li> </ol> </div> </div> <div class="gh-btn-container"><a class="gh-btn" href="https://github.com/eldorabdukhamidov/TV-Script-Generation-using-RNN">View on GitHub</a></div> </div> octograd2020