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README.md

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@@ -36,6 +36,10 @@ There are also notebooks used as projects for the Nanodegree program. In the pro
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* [Deep Convolutional GAN (DCGAN)](https://github.com/udacity/deep-learning-v2-pytorch/tree/master/dcgan-svhn): Implement a DCGAN to generate new images based on the Street View House Numbers (SVHN) dataset.
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* [CycleGAN](https://github.com/udacity/deep-learning-v2-pytorch/tree/master/cycle-gan): Implement a CycleGAN that is designed to learn from unpaired and unlabeled data; use trained generators to transform images from summer to winter and vice versa.
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### Deploying a Model (with AWS SageMaker)
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* [All exercise and project notebooks](https://github.com/udacity/sagemaker-deployment) for the lessons on model deployment can be found in the linked, Github repo. Learn to deploy pre-trained models using AWS SageMaker.
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### Projects
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* [Predicting Bike-Sharing Patterns](https://github.com/udacity/deep-learning-v2-pytorch/tree/master/project-bikesharing): Implement a neural network in NumPy to predict bike rentals.

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