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The Science Behind AI: How Neural Networks are Changing the Game

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Contenido proporcionado por Peter Rehnke. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Peter Rehnke o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Currently, everyone is talking about AI and deep learning, but what is behind it and how do neural networks work exactly?

In this episode of the CXM Evangelist podcast, we dive into the fascinating world of artificial intelligence and explore how neural networks are transforming the game. From image recognition to natural language processing, neural networks are used in a variety of tasks, and their self-learning ability gives them artificial intelligence. Join us as we unpack the complex mathematical models that make up neural networks and learn about the different types of networks and their strengths and weaknesses.

  continue reading

18 episodios

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Fetch error

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Manage episode 373104456 series 3470441
Contenido proporcionado por Peter Rehnke. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Peter Rehnke o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Currently, everyone is talking about AI and deep learning, but what is behind it and how do neural networks work exactly?

In this episode of the CXM Evangelist podcast, we dive into the fascinating world of artificial intelligence and explore how neural networks are transforming the game. From image recognition to natural language processing, neural networks are used in a variety of tasks, and their self-learning ability gives them artificial intelligence. Join us as we unpack the complex mathematical models that make up neural networks and learn about the different types of networks and their strengths and weaknesses.

  continue reading

18 episodios

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