Qué necesitas saber antes de
comenzar

Inicio 4 June 2026 04:15

Fin 4 June 2026

00 Días
00 Horas
00 Minutos
00 Segundos
course image

Deep Learning Summer School

Descubre los avances de vanguardia en IA y aprendizaje automático en la Escuela de Verano de Aprendizaje Profundo. Perfecto para estudiantes de posgrado y profesionales con un entendimiento fundamental de aprendizaje automático, este programa profundiza en el mundo de las redes neuronales profundas. Aprende cómo estas redes han revolucionado el rec.
via Independent

64 Cursos


No especificado

Actualización opcional disponible

Todos los niveles

Avanza a tu propio ritmo

Free

Actualización opcional disponible

Resumen

Discover the cutting-edge advancements in AI and machine learning at the Deep Learning Summer School. Perfect for graduate students and professionals with a foundational understanding of machine learning, this program dives deep into the world of deep neural networks.

Learn how these networks have revolutionized speech recognition, object recognition, detection, and more, by building complex representations of data through supervised, unsupervised, or reinforcement learning methods.

Organized by leading experts Aaron Courville and Yoshua Bengio, this year's summer school offers an exceptional opportunity to explore the intricate structures within large datasets and understand the latest research in this swiftly evolving field. Whether your interest lies in artificial intelligence, neural networks, or object detection, this course provides comprehensive insights into the practical and theoretical aspects of deep learning.

Access to lecture videos and slides is available on the videolectures site, facilitating a rich learning experience for both graduate students and industrial researchers.

Join us for an immersive journey into deep learning, a cornerstone of modern artificial intelligence research.

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Deep Learning Courses, Neural Networks Courses, Object Detection Courses.


Materias