Thursday, 14 April 2016

Busting Past 98% Accuracy

I was working on a document and expected to take a few hours ... so I thought, why not try a longer neural network training session to see if I could break past 98% performance.


The neural network architecture and training was boosted to:
  • 300 hidden layer nodes
  • 30 training epochs
  • rotate training images +/- 10 degrees.
That took about 3 hours on my laptop!

The resultant performance did indeed break the previous record .. at 98.03%

 

5 comments:

  1. I recently coded up the neural network in your book with one hidden layer. Then, as a challenge, I coded a net that allows the user to define any number of layers with any number of nodes. It seems to work and I can repeat the results of you get when you use just one hidden layer. I want to give my net a more robust challenge though! I would be interested in trying to repeat your results above. Could you send let me know the full details of the architecture you used? Regards John

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    Replies
    1. hi there - great job on adding in additional layers in a user-definable way.

      the architecture is simple: 300 inout nodes, 30 training epochs on the full mnist data, and with each input image rotated +/- 10 degrees to create new training data

      the code for this result is on GitHub along with the rest of the examples:
      https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork/blob/master/part3_mnist_data_set_with_rotations.ipynb

      that code will tell you the details like how we selected starting random weights, and the learning rate

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    2. and let me know how you get on with more difficult challenges like recognising faces .. which deeper networks are better at

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    3. sorry that link should have been
      https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork/blob/master/part3_neural_network_mnist_data_with_rotations.ipynb

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  2. Thanks for the advice, I'll try to replicate your work with my code. I'd like to have a go at the face recognition problem as well. Are there any training data sets online I can use for this??

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