Deep Learning in Gaming and Animations: Principles and Applications
Deep Learning in Gaming and Animations: Principles and Applications
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Deep learning in gaming and animation offers exciting possibilities for creating intelligent video game characters, automated video generation, and real-time animation. It also covers technological advancements in virtual reality (VR) and augmented reality (AR).
Format: Hardback
Length: 156 pages
Publication date: 16 December 2021
Publisher: Taylor & Francis Ltd
The field of deep learning has revolutionized the gaming and animation industries, offering exciting new possibilities for creating immersive and interactive experiences. In this article, we will explore the core concepts and principles of deep learning in gaming and animation, as well as its applications.
Neural networks, a fundamental component of deep learning, have been applied to various aspects of gaming and animation. One notable application is the creation of intelligent video game characters. By training neural networks on large datasets of game data, developers can create characters that can learn from their interactions with players and adapt their behavior accordingly. This results in more realistic and dynamic gameplay, as characters can respond to player actions in real-time.
Another area where deep learning has made significant strides is in automated video generation. With the help of deep learning algorithms, developers can generate high-quality videos with minimal human intervention. This has opened up new possibilities for creating immersive and interactive experiences, such as virtual reality (VR) and augmented reality (AR) games.
Technological advancements in virtual reality (VR) and augmented reality (AR) have also played a crucial role in the development of deep learning in gaming and animation. VR and AR technologies allow users to immerse themselves in virtual environments and interact with digital objects in real-time. This has enabled developers to create more realistic and interactive gaming experiences, as well as animated content that can be experienced in a more immersive way.
In conclusion, deep learning has transformed the gaming and animation industries by offering new possibilities for creating immersive and interactive experiences. From intelligent video game characters to automated video generation and real-time animation, deep learning has enabled developers to push the boundaries of what is possible in these fields. As technology continues to advance, we can expect to see even more exciting developments in deep learning in gaming and animation.
Weight: 410g
Dimension: 369 x 242 x 16 (mm)
ISBN-13: 9781032126098
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