[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks
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Updated
Sep 8, 2016 - Python
[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks
This is a Tensorflow implementation of the End-to-End Memory Network applied to Sequential Modelling of Facebook comments.
Creating a seq2seq dataset from OpenSubtitles data
TensorFlow implementation of "Pointer Networks"
Neural machine translator for English2German translation.
Generating music using a character-level Recurrent Neural Network.
Language translation using sequence to sequence technique from deep learning
Automatic Feature Generation for Website Fingerprinting
Transliterating English to Hindi using Recurrent Neural Networks
In this project you are going to translate new sentences from English to French using a sequence to sequence model.
Base librarys for sequencing data analysis.
Generative Models for Image Captioning
French to English translator on character level implemented by Keras
This project uses a sequence to sequence model of the recurrent neural network to translate any piece of English text to French. I have used recurrent nets because while training on huge data, recurrent nets actually predict the outcome a lot better than any normal machine learning models. In this specific model, the data first passes through an…
Demo project for language translation with seq2seq tensorflow model
Language Translation using Sequence to Sequence Recurrent Neural Network
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