Publisher | I like Dot |
---|---|
File size | 510.27kB |
Number of files | 27 |
Latest version | 1 |
Latest release date | 2018-01-19 05:10:33 |
First release date | 2017-09-20 05:47:23 |
Supported Unity versions | 2018.4.2 or higher |
This is a C # library for machine learning.
You can use multiple NeuralNetworks, and you can create your own functionality using an easy library in a variety of ways.
Two examples are included to help you learn how to use it.
1. Supervised learning of XOR results (artificial intelligence example)
2. Reinforcement learning to take down the ball (artificial intelligence example)
These are just a few examples of using the Deep Learning Library, and you can also use machine learning in a variety of ways depending on your needs.
The number of hidden layers, the number of neurons used in the layer, learning rate, and Bias can be easily changed.
You can also use NeuralNetwork's save and load functions easily.
From Unity 4 to the current version, all versions of Unity are supported.
It contains manuals in various languages so you can learn how to use them easily.
This is the best solution for anyone who wants to apply Machine Learning to Unity.
Since it is a library that can be applied to various functions desired, it can be used for desired functions such as demand prediction, game artificial intelligence production, and the like.
You can use multiple NeuralNetworks, and you can create your own functionality using an easy library in a variety of ways.
Two examples are included to help you learn how to use it.
1. Supervised learning of XOR results (artificial intelligence example)
2. Reinforcement learning to take down the ball (artificial intelligence example)
These are just a few examples of using the Deep Learning Library, and you can also use machine learning in a variety of ways depending on your needs.
The number of hidden layers, the number of neurons used in the layer, learning rate, and Bias can be easily changed.
You can also use NeuralNetwork's save and load functions easily.
From Unity 4 to the current version, all versions of Unity are supported.
It contains manuals in various languages so you can learn how to use them easily.
This is the best solution for anyone who wants to apply Machine Learning to Unity.
Since it is a library that can be applied to various functions desired, it can be used for desired functions such as demand prediction, game artificial intelligence production, and the like.