Char RNN Language Model based on Tensorflow
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Updated
May 25, 2016 - Python
Char RNN Language Model based on Tensorflow
BlackOut and Adaptive Softmax for language models by Chainer
attempt at implementing "Memory Architectures in Recurrent Neural Network Language Models" as a part of the ICLR 2018 reproducibility challenge
Projects from deeplearning.ai's course hosted on Coursera
Implementing Recurrent Neural Network from Scratch
RNN language model implemented in chainer.
In this kaggle competition I used TimeDistributed layer of keras to classify if questions asked on quora are same or duplicate.
Classifies the movie reviews as positive or negative using LSTM Networks
Implementation of Music Generation in PyTorch
Telugu OCR using RNN
RNN-based language models in pytorch
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (only supports Bahdanau Attention right now).
RNN-LSTM model that classifies movie reviews
Classifying whether a disaster tweet is real or not using LSTM and GloVe word embeddings
s-atmech is an independent Open Source, Deep Learning python library which implements attention mechanism as a RNN(Recurrent Neural Network) Layer as Encoder-Decoder system. (Supports all Models both Luong and Bhanadau).
The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.
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