Redes neuronales para la visión por computadora y el procesamiento del lenguaje natural.

Resumen

ABOUT THE COURSE:

Natural language processing (NLP) and computer vision (CV) have become increasingly significant due to their wide-ranging applications, such as language translation, speech recognition, image analysis, and automation in the healthcare, education, and transportation sectors. For under graduate and postgraduate college students, this course will offer a strong foundation in the concepts and techniques of deep learning, preparing them for advanced research and enhancing their employability in emerging technologies.

Beginners in the industry will also benefit from practical insights into bridging theoretical knowledge with real-world applications, enabling them to contribute effectively to projects involving language and vision-based solutions. Faculty members will gain exposure to the latest developments and tools in the field, supporting their efforts to integrate cutting-edge topics into their teaching and research.This course starts with fundamental machine learning concepts and will cover advanced deep learning techniques for modeling primary computer vision and NLP tasks.

The course module design helps beginners understand the underlying neural network concepts and how to apply these networks to model different important NLP and vision tasks. Simple diagrammatic illustrations help students from various backgrounds understand complex learning models.

The course contents are in massive demand in AI/ML-based IT industries.INTENDED AUDIENCE:

Final/Pre-final year B. Tech. (BE), M.

Tech. (ME), PhD studentsINDUSTRY SUPPORT:

The IT industry is looking for AI/ML professionals.

Programa

• Introducción al aprendizaje
• Fundamentos del aprendizaje automático
• Optimización de modelos de aprendizaje automático

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Impartido por

Prof. Arijit Sur

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Materias

Artificial Intelligence