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My solutions to the assignments in Deep Learning Nanodegree from Udacity

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The contents of this repository are my solutions to the assignments in Deep Learning Nanodegree from Udacity.

The projects are:

  1. Bike sharing patterns analysis with a simple neural network (with a single hidden layer) written in NumPy,
  2. Dog breed classifier implemented as a Convolutional Neural Network in PyTorch,
  3. TV Script generation implemented as a Recurrent Neural Network in PyTorch,
  4. Face generation implemented as a Generative Adversarial Network in PyTorch,
  5. Sentiment Analysis RNN implemented in PyTorch with a deployment to AWS SageMaker.

In each folder there is a Jupyter Notebook file, which is the main file for a project. There you can find instructions for each assignment along with my solution.

Reviews I got for these projects can be found in the reviews folder.

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My solutions to the assignments in Deep Learning Nanodegree from Udacity

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