Introduction to Deep Learning (Toronto academic press)

This book is designed to provide a comprehensive introduction to the field of deep learning, covering its foundational principles, techniques, and applications. It covers topics such as neural networks, convolutional networks, recurrent networks, and deep reinforcement learning. The content emphasizes both the theoretical concepts and practical implementations of deep learning models, providing insights into how these models are trained and applied to solve complex problems. Practical examples and hands-on exercises are included to help readers develop a solid understanding of deep learning techniques and their applications in various fields.

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