Deep Learning | AI | IIT Madras

Comprehensive overview of deep learning, covering fundamental concepts, architectures, and applications. Taught by Prof. Mitesh M. Khapra from IIT Madras.

Introduction

This course provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, and applications of this powerful machine learning technique. Taught by Prof. Mitesh M. Khapra from IIT Madras, the course delves into the theoretical foundations and practical implementation of deep neural networks.

Highlights

• Covers a wide range of deep learning models, including convolutional neural networks, recurrent neural networks, and generative adversarial networks
• Emphasizes hands-on learning with coding exercises and projects using popular deep learning frameworks like TensorFlow and PyTorch
• Explores the latest advancements and applications of deep learning in areas such as computer vision, natural language processing, and reinforcement learning

Recommendation

This course is highly recommended for students, researchers, and professionals interested in gaining a deep understanding of deep learning and its applications. It provides a solid foundation for those looking to develop expertise in this rapidly evolving field of artificial intelligence.

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