Game development is also a key area where these techniques are being applied. Hands-On Deep Learning for Games will give an in depth view of the potential of deep learning and neural networks in game development. (Limited-time offer)
Table of Contents
- Section 1: The Basics
- Deep Learning for Games
- Convolutional and Recurrent Networks
- GAN for Games
- Building a Deep Learning Gaming Chatbot
- Section 2: Deep Reinforcement Learning
- Introducing DRL
- Unity ML-Agents
- Agent and the Environment
- Understanding PPO
- Rewards and Reinforcement Learning
- Imitation and Transfer Learning
- Building Multi-Agent Environments
- Section 3: Building Games
- Debugging/Testing a Game with DRL
- Obstacle Tower Challenge and Beyond
Download Free PDF / Read Online
Author(s): Micheal Lanham
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 372
Download / View Link(s): This offer has ended.
Free as of 07/17/2022
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 372
Download / View Link(s): This offer has ended.
Free as of 07/17/2022