COURSE

AIAA5049

Applied Deep Learning: From Speech to Language and Multimodal Processing

Information Hub / Artificial Intelligence · 3 Credits

In the era of large-scale deep learning models, multimodal learning based on speech, text, and images is gaining increasing prominence. It holds the potential to facilitate cross-domain applications, improve human-computer interaction, and advance innovation in the field of AI. This course will provide an in-depth exploration of applied deep learning techniques, focusing on their applications in speech processing, natural language understanding, and multimodal data analysis. Students will gain practical experience in building deep learning models for various tasks, including speech recognition, language translation, image analysis, and more. The course covers fundamental concepts, algorithms, and tools in the field of deep learning and emphasizes hands-on projects and real-world applications.

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仅展示 2026-27 Fall;历史教学班可通过学期筛选查看。

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官方 Course Catalog

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2026-27 Fall · PG

3 Credits

官方数据更新时间: 2026-08-28 05:35:00

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

历史目录与其他学期
2025-26 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2025-26 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2025-26 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2024-25 Summer · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2024-25 Spring · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2024-25 Winter · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.

2024-25 Fall · PG

3 Credits

官方数据更新时间: 2026-08-06 14:55:26

背景: Familiar to use Python for the coding, and have fundamental knowledge of Multi-modal Learning.