🇫🇷 English to French Translation via Python 3 and Keras RNNs.
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Updated
Mar 27, 2018 - HTML
🇫🇷 English to French Translation via Python 3 and Keras RNNs.
Implementation of 'DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging'
Build a deep neural network that functions as part of an end-to-end machine translation pipeline. Your completed pipeline will accept English text as input and return the French translation. You’ll be able to explore several recurrent neural network architectures and compare their performance.
Given 10 predefined relations like cause-effect, product-producer, etc, the goal was to define the relation and the direction of the relation b/w 2 entities in a sentence.
Collection of labs and programming assignments present in the sequence model course
Text Summariser based on RNN-LSTM and Tensorflow
Predicting the Total Number of Claps of a Medium Blog Post Using Word Embeddings and RNNs
Udacity Artificial Intelligence Nanodegree Capstone Project. A Machine Translator for the translation of english to french. Trained four models Simple RNN, Embedded RNN, Bidirectional RNN and one with all three features with the later having maximum accuracy.
A deep neural network that functions as part of an end-to-end machine translation pipeline. The completed pipeline will accept English text as input and return the French translation.
Bidirectional RNNs are used to analyze the sentiment (positive, negative, neutral) of movie reviews. .
Sequence-to-Sequence Deep Learning approach to Machine Translation
Sentiment analysis (text mining and opinion mining) uses Natural Language Processing to determine whether data is positive, negative or neutral. Sentiment analysis is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback, and understand customer needs.
Action Recognition Using CNN + Bidirectional RNN
A biRNN for emotion prediction/sentiment analysis of tweets implemented with Tensorflow. Semester project for the course "Deep Learning" at the University of Tübingen in the summer semester 2017.
End-to-end review sentiment classification with text preprocessing, Bidirectional Long Short-Term Memory networks and Glove embeddings.
Design and training of bidirectional RNNs and Transformers to translate sentences from English to French.
Some mini projects and training code
Can sarcastic sentences be identified?
This package uses Long Short-Term Memory (LSTM) to forecast a stock price that user enters.
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