Comments (3)
Well, its a good point, right now in our testing we found it much quicker then SGD for both iris and MNIST, so I'm not sure where would the 1000 times slower part comes in, but we would love to include a new example if you want to create a spec/project using it.
We will also gladly link to an outside project if you want to use shainet for a reinforcement learning example :)
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@bararchy I was hoping you already had an example. ;-) I haven't done any reinforcement learning yet but always love a challenge. I will see if I can find one that isn't too complicated and will work as an example.
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That could be cool, we do have more then a few classes worth of reinforcement code, but its closed source and highly integrated into our systems.
Let me know how it works for you and @ArtLinkov and I would love to help
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Related Issues (20)
- Network class - Add q-learning as a training option
- Create layer class
- Support HDF5 and JSON to save and load models? HOT 4
- Using Crystal Workbook fails to create SHAINet model HOT 3
- NaN in Total error and MSE HOT 28
- Ability to set activation function per layer HOT 1
- Try and find a way to introduce multi-threading for training HOT 2
- save then load gives less accurate results HOT 9
- overfitting - BatchNormalization and Dropout HOT 5
- Add save/load for the CNN HOT 2
- Autosave option while training HOT 1
- Feedback on design HOT 3
- Object Oriented - move to leverage inheritance HOT 4
- Add a way to convert the neurons representation to matrix
- Are there any benchmarks? HOT 2
- Logo design for shainet HOT 6
- OCR recognise image on image HOT 4
- Help building Cats vs Dogs CNN network HOT 5
- JSON.mapping and Logger are deprecated in Crystal 1.0.0 HOT 1
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