论文标题
深文的多媒体儿童文学
Deep Generative Multimedia Children's Literature
论文作者
论文摘要
对于具有创造力的人来说，利用机器学习技术的艺术工作是越来越受欢迎的努力。但是，大多数工作都是在单个领域完成的：文本，图像，音乐等。在这项工作中，我为机器学习创造了多媒体体验，特别是在儿童文学类型中。我们详细介绍了专门使用公开可用的基于神经网络的模型的过程，我介绍了系统创建的工作的多个示例，并探讨了在这一创意工作领域中相关的问题。
Artistic work leveraging Machine Learning techniques is an increasingly popular endeavour for those with a creative lean. However, most work is done in a single domain: text, images, music, etc. In this work, I design a system for a machine learning created multimedia experience, specifically in the genre of children's literature. We detail the process for exclusively using publicly available pretrained deep neural network based models, I present multiple examples of the work my system creates, and I explore the problems associated in this area of creative work.
