Difference between revisions of "Roboneural"
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==Link== | ==Link== | ||
Here is the link: https://www.dropbox.com/sh/8gwgik1gpvo4jzw/AAB6qYCt6fL-yTktysuzzRHBa?dl=1 | Here is the link: https://www.dropbox.com/sh/8gwgik1gpvo4jzw/AAB6qYCt6fL-yTktysuzzRHBa?dl=1 | ||
+ | If I was making a change when you were downloading, it may give an error. |
Revision as of 20:02, 10 August 2017
Contents
Roboneural
- It is a library I made for myself to use it.
- There aren't too many bots using NN's so I thought that people start to make more with a ready lib.
What can I do with it?
- You can create a Multi-Layer Perceptron.
- You can choose how many layers you'll use and how many nodes there will be.
- You can decide what learning rate you'll use.
- You can change the batch size.
- You can pre-process data and make it more useful for Neural Networks.
- You can choose different Activation Functions for each layer.
Activation Functions
- There are activation functions coming with the package.
- Gaussian, Linear, Hyperbolic Tangent(Tanh), Sigmoid, ReLU, SoftPlus(SmoothMax), Sine(Perfect for overfitting).
- Also you can add your own activation functions.
Usages
- You can make a powerful GF gun.
- You can make a PIF gun by giving normal data + tick of the simulation.
- You can make a PM gun like in ScruchiPu.
- You can make a fire power choosing system.
- You can make a melee movement with regression. For example input as distance to objects in 360 different angle.
- You can create a MinimumRisk danger predictor.
- And lot more.
What to do next?
- Adding momentum.
- Adding recurrent neural networks.
- Adding auto-encoder which is already ready.
- Adding softMax functions for deep learning maybe?
- Adding Deep Convolutional Inverse Graphics Deep Belief Network.(Just joking) =).
Link
Here is the link: https://www.dropbox.com/sh/8gwgik1gpvo4jzw/AAB6qYCt6fL-yTktysuzzRHBa?dl=1 If I was making a change when you were downloading, it may give an error.