generator -> generation in project name

Author: charlesfrye

README.md

@@ -12,7 +12,7 @@ These are specific bite-sized projects to learn an aspect of deep learning, star
 | Build a denoising autoencoder                   | [projects/4-fashion-autoencoder](https://github.com/lukas/ml-class/tree/master/projects/4-fashion-autoencoder) | [Autoencoders](https://www.youtube.com/watch?v=6maH8Lh3pK4)                            |
 | Build a text classifier with Scikit-Learn       | [projects/5-sentiment-analysis](https://github.com/lukas/ml-class/tree/master/projects/5-sentiment-analysis)   | [Sentiment Analysis](https://www.youtube.com/watch?v=qoyp8pBtCZ0)                      |
 | Predict the weather with an RNN                 | [projects/6-rnn-timeseries](https://github.com/lukas/ml-class/tree/master/projects/6-rnn-timeseries)           | [Recurrent Neural Networks](https://www.youtube.com/watch?v=8lbGjKhrJOo)               |
-| Build a text generator                          | [projects/7-text-generator](https://github.com/lukas/ml-class/tree/master/projects/7-text-generation)           | [Text Generation using LSTMs and GRUs](https://www.youtube.com/watch?v=4F69m3krMHw)    |
+| Build a text generator                          | [projects/7-text-generation](https://github.com/lukas/ml-class/tree/master/projects/7-text-generation)           | [Text Generation using LSTMs and GRUs](https://www.youtube.com/watch?v=4F69m3krMHw)    |
 | Build a sentiment classifier on Amazon reviews. | [projects/8-text-classification](https://github.com/lukas/ml-class/tree/master/projects/8-text-classification) | [Text Classification using CNNs](https://www.youtube.com/watch?v=8YsZXTpFRO0)          |
 |                                                 |                                                                                                                | [Hybrid LSTM/CNNs](https://www.youtube.com/watch?v=NysY9FN9Uac)                        |
 |                                                 |                                                                                                                | [Seq2seq Models](https://www.youtube.com/watch?v=MqugtGD605k)                          |