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Feb 11, 2018
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Update README.md #63

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9 changes: 6 additions & 3 deletions README.md
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Expand Up @@ -13,15 +13,18 @@ Here are some demos running directly in the browser:
* [x] Delta weight formulas, connect to "mathematics of gradient" video
* [x] Implement gradient descent in library / with code
* [x] XOR coding challenge [live example](https://codingtrain.github.io/Toy-Neural-Network-JS/examples/xor/)
* [x] MNIST coding challenge [live example](https://codingtrain.github.io/Toy-Neural-Network-JS/examples/mnist/)
* [ ] MNIST coding challenge [live example](https://codingtrain.github.io/Toy-Neural-Network-JS/examples/mnist/)
* redo this challenge
* cover softmax activation, cross-entropy
* graph cost function?
* only use testing data
* [ ] Support for saving / restoring network (see #50)
* [ ] Support for different activation functions (see #45)
* [ ] softmax activation, cross-entropy
* [ ] Support for multiple hidden layers (see #61)
* [ ] Support for neuro-evolution
* [ ] play flappy bird (many players at once).
* [ ] play pong (many game simulations at once)
* [ ] steering sensors (a la Jabril's forrest project!)
* [ ] Support for multiple hidden layers
* [ ] Combine with ml5 / deeplearnjs

## Getting Started
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