Using LSTMs to generate new TV scripts with PyTorch
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Updated
Mar 25, 2019 - Jupyter Notebook
Using LSTMs to generate new TV scripts with PyTorch
RNN written using pytorch to generate TV script
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
TV script generation using Recurrent Neural Networks in TensorFlow
An RNN-based Neural Network that uses PyTorch to learn from a specified book or TV/film script and then generate text that appears to have come from the source
An RNN to generate TV scripts for a Simpsons episode
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 Seinfeld TV scripts using RNNs.
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
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
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
This project generates new tv script by learning old tv scripts by its own.
generate tv scripts via RNN
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.
Generate your own Seinfeld TV scripts using Recurrent Neural Networks (RNNs)
Use RNN to generate new Seinfeld scripts
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