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@@ -10,8 +10,24 @@ These are specific bite-sized projects to learn an aspect of deep learning. The
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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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| Build a text generator | projects/7-text-generator | [Text Generator](https://www.youtube.com/watch?v=4F69m3krMHw) |
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| Build a text classifier with LSTMs and Convolutions | projects/8-text-classification | [Text Generator](https://www.youtube.com/watch?v=8YsZXTpFRO0) |
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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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|||[Seq2seq Models](https://www.youtube.com/watch?v=MqugtGD605k)|
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|||[Transfer Learning](https://www.youtube.com/watch?v=vbhEnEbj3JM)|
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|||[One Shot Learning](https://www.youtube.com/watch?v=H4MPIWX6ftE)|
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|||[Speech Recognition](https://www.youtube.com/watch?v=Qf4YJcHXtcY)|
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|||[Data Augmentation](https://www.youtube.com/watch?v=yYqAvlkRwUQ)|
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|||[Batch Size and Learning Rate](https://www.youtube.com/watch?v=ZBVwnoVIvZk)|
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# More Projects
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If you have done all of the tutorial projects, we have a few more that don't have associated lessons yet!
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|Project|Link|
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|-------|----|
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|Japanese Language OCR|https://app.wandb.ai/wandb/kmnist/benchmarks|
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|Video Prediction|https://app.wandb.ai/wandb/catz/benchmarks|
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