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本书从人工智能、机器学习和深度学习三者的关系开始，以深度学习在计算机视觉、自然语言处理和推荐系统的应用实践为主线，逐步剖析模型原理和代码实现。

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As being the technology carries on to evolve, navigating these worries will probably be essential to unlocking its comprehensive potential and ensuring its liable adoption.

But deepfakes remain with us, as well as their ineffectiveness in impacting elections doesn’t suggest These are harmless.

山下隆义，博士，主要从事快速人脸图像检测相关的软件研究和开发。目前从事动画处理、模式识别和机器学习相关的研究。曾多次荣获日本深度学习研究相关奖项，并在多个相关研讨会上担任讲师。

本书不是一本技术类的教材，但是有助于了解整个深度学习是如何出生，如何发展，以及对未来的展望。

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Numerous technological innovation-centered detection programs exist already now. Utilizing machine Finding out, neural networks and forensic Assessment, these systems can evaluate digital content for inconsistencies normally connected to deepfakes. Forensic solutions that examine facial manipulation may be get more info used to confirm the authenticity of the piece of content.

Deepfakes use synthetic intelligence (AI) technologies to create really reasonable faux pictures, videos and audio recordings. The expression comes from “deep Discovering” and “fake” and describes both the AI technological innovation utilised and also the resulting content.

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