Sequence to Sequence RNN for language translation
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Updated
May 13, 2017 - HTML
Sequence to Sequence RNN for language translation
MaskRCNN + Tensorflow + Docker
A Translator from English to German that uses Seq2Seq in Tensorflow
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
Image classification using TensorFlow based machine learning.
A presentation and Accompanying notebook for the Entailment with Tensorflow article.
A simple tensorflow classification algorithm using CNN
This is example implemented in tensorflow
Tries to predict which language a word belongs using LSTMs.
A template of tensorflow projects to maximize code reuse.
Basic recommendation system for Movilens dataset using Keras
Many market analysts believe that predicting market’s stocks fluctuations is nearly impossible to achieve due to the number of variables involved, especially since many of these variables are based on irrational factors such as human sentiment. However, I developed a model that uses a combination of sentiment analysis, clustering and feed-forwar…
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