PyTorch TV script generator.
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Updated
Apr 2, 2019 - HTML
PyTorch TV script generator.
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
Udacity DLND project with Facebook PyTorch Challenge Scholarship the original repo can be found at https://github.com/udacity/deep-learning-v2-pytorch
generate tv scripts via RNN
Generate your own Seinfeld TV scripts using RNNs. The project is using a Seinfeld dataset of scripts from 9 seasons. The Neural Network which will be build will generate a new, "fake" TV script.
This project generates new tv script by learning old tv scripts by its own.
This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.
TV script generation using Recurrent Neural Networks in TensorFlow
Use RNN to generate new Seinfeld scripts
Using RNN's on a Seinfeld dataset of scripts from 9 seasons to generate own Seinfeld TV scripts. The Neural Network will generate a new, "fake" TV script based on patterns it recognizes in this training data.
Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt 🤠 Made with ❤️ in Pytorch. Keep spreading love and laughter and do 🌟 the project. Cheers!
Making use of Recurrent Neural Networks (RNNs), the aim was to create a new Simpson’s TV script at Moe’s Tavern. I’ve used a part of Simpson’s dataset of scripts from 27 seasons.
📺 A project to demonstrate RNN in TV script generation
My solution to the Udacity project of training all Seinfeld Scripts in an RNN to predict a new script based on which character talks first
使用 RNN 来生成你自己版本的《辛普森一家》剧集剧本。
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