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
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
Udacity DLND project with Facebook PyTorch Challenge Scholarship the original repo can be found at https://github.com/udacity/deep-learning-v2-pytorch
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.
使用 RNN 来生成你自己版本的《辛普森一家》剧集剧本。
Generate your own Seinfeld TV scripts using Recurrent Neural Networks (RNNs)
This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.
Use RNN to generate new Seinfeld scripts
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!
PyTorch TV script generator.
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.
generate tv scripts via RNN
Generation of Simpsons tv scripts using Recurrent neural networks using Tensorflow.
RNN written using pytorch to generate TV script
A deep learning Project for the Udacity course "Deep Learning Nanodegree".
Using LSTMs to generate new TV scripts with PyTorch
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
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