In this assignment, you'll be implementing a recurrent neural network to generate text one letter at a time. In particular, we'll start with a corpus of names extracted from news articles, mostly consisting of names of politicians and celebrities. We'll train an RNN on this data, and use it to generate new names! In the process, you'll also encounter adaptive learning rates and learn to generate random samples from an RNN. Let's get started!
Part of course:
Hands-on Assignment: Text Generation using Recurrent Neural Networks
- Dataset
- Implementing our Recurrent Neural Network
- Training and Testing
- Generating samples
- Running everything
- Results and discussion
- Solution on Google Colaboratory
- Parting notes
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