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C# Sequence to Sequence Learning with Attention using LSTM neural Networks

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Seq2SeqLearn

Seq2SeqLearn Library is a sequence to sequence learning library written in c# .net.

sequence to sequence learning is a general framework that can be used for machine translations, Chabot or any other sequence classifications problems.

LSTM

LSTM neural network like recurrent neural network used to predict the next element in a time series or sequence. sequence to sequence learning process contain two main blocks Encoder and Decoder.

Encoder

Encoder map the input sequence to fixed length vector.

Decoder

take the encoded vector and predict the output sequence. the library uses the idea of automatic differentiation

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MIT

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C# Sequence to Sequence Learning with Attention using LSTM neural Networks

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