Training Configuration

Configuring your training environment and parameters can significantly impact the performance of your AI model:

• Selecting a Model Type: Donkey Car supports multiple model architectures. Choose one that fits your project needs, for example, linear, categorical, or rnn.
• Adjusting Training Parameters: Modify parameters such as batch size, epochs, and learning rate in the myconfig.py file to optimize training.
• Using a GPU: If available, configure TensorFlow to utilize a GPU for faster training. Ensure you have the correct drivers and TensorFlow GPU version installed.