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updated readme to mention the use of packed padded sequences in notebook 2

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bentrevett 2019-04-01 16:18:02 +01:00
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@ -32,7 +32,7 @@ python -m spacy download en
* 2 - [Upgraded Sentiment Analysis](https://github.com/bentrevett/pytorch-sentiment-analysis/blob/master/2%20-%20Upgraded%20Sentiment%20Analysis.ipynb)
Now we have the basic workflow covered, this tutorial will focus on improving our results. We'll cover: loading and using pre-trained word embeddings, different optimizers, different RNN architectures, bi-directional RNNs, multi-layer (aka deep) RNNs and regularization.
Now we have the basic workflow covered, this tutorial will focus on improving our results. We'll cover: using packed padded sequences, loading and using pre-trained word embeddings, different optimizers, different RNN architectures, bi-directional RNNs, multi-layer (aka deep) RNNs and regularization.
* 3 - [Faster Sentiment Analysis](https://github.com/bentrevett/pytorch-sentiment-analysis/blob/master/3%20-%20Faster%20Sentiment%20Analysis.ipynb)