Welcome to my blog with some of my work in progress. I’ve been working on this Portfolio. You can see some of the my recent works.
Recent Projects
Neural Hindi-English Machine Translation
Machine Translation Using LSTMs. Model’s Architecture: 2 Layer Uni-LSTM encoder, 2 Layer Uni-LSTM decoder, ADAM optimizer and Cross Entropy Loss function. Model’s METEOR Score=0.245, BLEU Score=0.0066. In the first phase, I started understanding the general concepts of NMT by implementing the model from “Sequence to Sequence Learning with Neural Networks” paper.
An example translation, where a Hindi sentence, is passed to a 2 Layer LSTM Encoder to produce 2 context vectors, which are used by the decoder to Produce English translation “Happy Birthday Machine Translation Using Bidirectional GRUs.
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Exemplar Based Variational Auto Encoder
In the twinkling of an eye, all was ready to execute Coppenole’s idea. Bourgeois, scholars and law clerks all set to work. The little chapel situated opposite the marble table was selected for the scene of the grinning match. A pane broken in the pretty rose window above the door, left free a circle of stone through which it was agreed that the competitors should thrust their heads. In order to reach it, it was only necessary to mount upon a couple of hogsheads, which had been produced from I know not where, and perched one upon the other, after a fashion.
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