Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)
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Updated
Mar 27, 2020 - HTML
Kaggle's Predict Future Sales competition project (TOP 15 solution as of March 2020)
Generate TV Scripts using RNN and LSTM
A part of Udacity Deep Learning Nanodegree Project
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!
A PyTorch RNN model for Sentiment Analysis deployed with AWS SageMaker
TV Script Generation In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new ,"fake" TV script, based on patterns it recognizes in this training data. Get the Data The data is already provided for you in .…
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
This RNN model predicts the next character based on a text.
In this project, I'll generate my own Seinfeld TV scripts using RNNs. I'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new ,"fake" TV script, based on patterns it recognizes in this training data.
Part of my Nanodegree in Deep Learning from Udacity
Udacity Deep Learning Nanodegree project "Generate TV Scripts"
KBOT: The neural network version of Kendrick Lamar
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.
Sage Maker Deployment project for Deep Learning Nanodegree
In this project, I generated my own Seinfeld TV scripts using RNNs. I used a Seinfeld dataset of scripts from 9 seasons. The Neural Network i built will generate a new, "fake" TV script.
My solution to the Udacity project of building and training an RNN with LSTM based on IMDb movie reviews and then deploying it through AWS
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