This book provides a comprehensive guide to deep learning, covering the basics of neural networks, convolutional networks for computer vision, and attention mechanisms and transformers for large language models. It also discusses advanced tasks that can be solved using these techniques, such as chatbots and text-to-image generation. By the end of the book, readers will have a thorough understanding of deep neural networks and the ability to develop and adapt models for their own tasks.
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