Applied Deep Learning 2022 | TU Wien | Deep Learning Course

Comprehensive introduction to applied deep learning, covering the latest techniques and best practices. Hands-on experience in implementing and deploying deep learning models for real-world applications.

Introduction

This course provides a comprehensive introduction to applied deep learning, covering the latest techniques and best practices in the field. Participants will gain hands-on experience in implementing and deploying deep learning models for real-world applications.

Highlights

• Covers a wide range of deep learning architectures, including convolutional neural networks, recurrent neural networks, and transformers
• Focuses on practical applications of deep learning in areas such as computer vision, natural language processing, and time series analysis
• Emphasizes the importance of data preprocessing, model optimization, and deployment strategies
• Includes interactive coding exercises and case studies to reinforce the concepts

Recommendation

This course is highly recommended for students, researchers, and professionals interested in leveraging the power of deep learning to solve complex problems. It provides a solid foundation in deep learning principles and equips participants with the skills to apply these techniques effectively in their own projects.

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