Various implementations and projects on CNN, RNN, LSTM, GAN, etc
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Updated
May 22, 2018 - Jupyter Notebook
Various implementations and projects on CNN, RNN, LSTM, GAN, etc
PyTorch TV script generator.
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
Using LSTMs to generate new TV scripts with PyTorch
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.
Generated new TV scripts for Seinfeld using RNNs by training the model on Seinfeld dataset of scripts from 9 seasons. The Neural Network generated a new ,"fake" TV script, based on patterns it recognized in this training data.
This project generates new tv script by learning old tv scripts by its own.
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
RNN written using pytorch to generate TV script
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
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)
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
Use RNN to generate new Seinfeld scripts
An RNN to generate TV scripts for a Simpsons episode
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