Stanford Seminar - Deep Learning in Speech Recognition

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60 Cursos


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Resumen

Título: Seminario de Stanford - Aprendizaje Profundo en el Reconocimiento de Voz

Descripción: Embárcate en un viaje exhaustivo por el reino de la inteligencia artificial con el seminario de la Universidad de Stanford sobre Aprendizaje Profundo en el Reconocimiento de Voz. Este curso meticulosamente diseñado ofrece una inmersión profunda en la historia, el desarrollo y las aplicaciones pivote del aprendizaje profundo en la esfera de la tecnología de reconocimiento de voz. Los participantes adquirirán un entendimiento robusto de conceptos esenciales del aprendizaje profundo, la arquitectura de las redes neuronales, y su impacto transformador en los esfuerzos de reconocimiento de voz. El currículo abarca una amplia gama de temas, incluidos pero no limitados al aprendizaje de perceptrón, las complejidades de las funciones de pérdida, la mecánica detrás del descenso de gradiente estocástico, el diseño de perceptrón multicapa y las sutilezas de los modelos de lenguaje y acústicos, culminando en una exploración de las redes de creencia profunda. A través de una combinación de conferencias cautivadoras que destacan avances históricos, conceptos teóricos críticos y aplicaciones del mundo real en el reconocimiento de voz, este curso garantiza una experiencia educativa enriquecedora. Ya seas un entusiasta principiante o un profesional experimentado en los campos de la inteligencia artificial, el aprendizaje profundo o el aprendizaje automático, este seminario ofrece perspectivas y conocimientos invaluables. Ofrecido por la Universidad de Stanford y disponible en YouTube, se alinea con múltiples categorías como Cursos de Inteligencia Artificial, Cursos de Aprendizaje Profundo y Cursos de Redes Neuronales, convirtiéndolo en un recurso esencial para aquellos que aspiran a sobresalir en estos dominios.

Programa de estudio


Enseñado por

Stanford Online


Etiquetas

united states

provider YouTube

YouTube

34 Cursos


YouTube

pricing Free Online Course
language English
duration 1 hour 13 minutes
sessions On-Demand