Hands-on deep learning for games: leverage the power of neural networks and reinforcement learning to build intelligent games

Description

Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games Key FeaturesApply the power of deep learning to complex reasoning tasks by building a Game AIExploit the most recent developments in machine learning and AI for building smart gamesImplement deep learning models and neural networks with Python Book Description The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development. We will take a look at the foundations of multi-layer perceptron's to using convolutional and recurrent networks. In applications from... Table of ContentsDeep Learning for GamesConvolutional and Recurrent NetworksGAN for GamesBuilding a Deep Learning Gaming ChatbotIntroducing DRLUnity ML-AgentsAgent and the EnvironmentUnderstanding PPORewards and Reinforcement LearningImitation and Transfer LearningBuilding Multi-Agent EnvironmentsDebugging/Testing a Game with DRLObstacle Tower Challenge and Beyond