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@@ -9,7 +9,7 @@ These are specific bite-sized projects to learn an aspect of deep learning. The
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| Build a convolutional image classifier | projects/3-fashion-mnist-cnn | [Convolutional Neural Networks](https://www.youtube.com/watch?v=wzy8jI-duEQ) |
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| Build a denoising autoencoder | projects/4-fashion-autoencoder | [Autoencoders](https://www.youtube.com/watch?v=6maH8Lh3pK4) |
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| Build a text classifier with Scikit-Learn | projects/5-sentiment-analysis | [Sentiment Analysis](https://www.youtube.com/watch?v=qoyp8pBtCZ0) |
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| Predict the weather with Recurrent Neural Networks | projects/6-rnn-timeseries | [Recurrent Neural Networks](https://www.youtube.com/watch?v=8lbGjKhrJOo) |
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| Predict the weather with an RNN | projects/6-rnn-timeseries | [Recurrent Neural Networks](https://www.youtube.com/watch?v=8lbGjKhrJOo) |
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| Build a text generator | projects/7-text-generator | [Text Generation using LSTMs and GRUs](https://www.youtube.com/watch?v=4F69m3krMHw) |
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| Build a text classifier with Convolutions | projects/8-text-classification | [Text Classification using CNNs](https://www.youtube.com/watch?v=8YsZXTpFRO0) |
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||| [Hybrid LSTM/CNNs](https://www.youtube.com/watch?v=NysY9FN9Uac) |

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