All Projects → llSourcell → Recurrent_neural_network

llSourcell / Recurrent_neural_network

Licence: bsd-2-clause
This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

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recurrent_neural_network

This is the code for "Recurrent Neural Networks - The Math of Intelligence (Week 5)" By Siraj Raval on Youtube

Overview

This is the code for this video on Youtube by Siraj Raval as part of The Math of Intelligence series. It's a simple numpy implementation of a recurrent network that can read in a sequence of words and then generate words in that style. We train it on Franz Kafka here.

Dependencies

  • numpy

Install missing ependencies with pip.

Usage

Type jupyter notebook in terminal when in the main directory and it will pop up in your browser.

Install jupyter if you haven't yet

Credits

The credits for this code go to Andrej Karpathy. My favorite DL researcher <3 I've merely created a wrapper to get people started.

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