Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
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Updated
Sep 16, 2016 - Python
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
RNN
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.
🇫🇷 English to French Translation via Python 3 and Keras RNNs.
build a deep neural network that functions as part of an end-to-end machine translation pipeline; the completed pipeline accepts English text as input and returns the French translation.
Sequence-to-Sequence Deep Learning approach to Machine Translation
Text Summariser based on RNN-LSTM and Tensorflow
Tensorflow implementation of Attention-based Bidirectional RNN text classification.
Character level recurrent neural networks for Sentiment Analysis
Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Learn to code deep learning algorithms
Implementation of 'DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging'
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.
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.
Multi-Agent Reinforcement Learning with Particle Env. (on going)
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.
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