What insights can be gained by analyzing the distribution of actions predicted by the network?
Tuesday, 08 August 2023
by EITCA Academy
Analyzing the distribution of actions predicted by a neural network trained to play a game can provide valuable insights into the network's behavior and performance. By examining the frequency and patterns of predicted actions, we can gain a deeper understanding of how the network makes decisions and identify areas for improvement or optimization. This analysis
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Training a neural network to play a game with TensorFlow and Open AI, Testing network, Examination review
Tagged under:
Artificial Intelligence, Decision Making, Deep Learning, Game AI, Neural Networks, TensorFlow
What is the purpose of generating training samples in the context of training a neural network to play a game?
Tuesday, 08 August 2023
by EITCA Academy
The purpose of generating training samples in the context of training a neural network to play a game is to provide the network with a diverse and representative set of examples that it can learn from. Training samples, also known as training data or training examples, are essential for teaching a neural network how to
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Training a neural network to play a game with TensorFlow and Open AI, Training data, Examination review
Tagged under:
Artificial Intelligence, Deep Learning, Game AI, Neural Network, Supervised Learning, Training Data