FronkonGames / Machine-Learning-Game-Ideas

Game ideas generation using neural networks

Game Ideas Generation Using Neural Networks

🔧 Requisites

• Pyhton 3.8
• Numpy 1.2
• TensorFlow 2.8
• Keras 2.8

🚀 Usage

Before you can generate ideas for games you must train the neural network:

python MLGamedevIdeas.py -train

This will train the neural network with all the descriptions in the file 'final_data_new.json.gz' (about 80000) and 20 epochs. Depending on your hardware this may take quite a while. To make the training process less time consuming you can use fewer game descriptions:

python MLGamedevIdeas.py -games 5000 -train

You can also use less epochs:

python MLGamedevIdeas.py -games 5000 -epochs 10 -train

For good results I recommend values of 'loss' below 2. Consult the parameters to better adjust the training:

python MLGamedevIdeas.py -h

Once the neural network has been trained, a file 'weights.hf5' will have been generated.

Note that you will have to retrain the neural network if you change the parameters.

Now you can start generating crazy ideas:

python MLGamedevIdeas.py

📜 License

Code released under MIT License.