This book is written for developers, researchers, students, and curious practitioners who want to move beyond simply running prebuilt AI models and instead learn how they are designed. You should have a solid command of Python and a working knowledge of machine learning, especially neural networks in PyTorch. A background in deep learning fundamentals, such as convolutional networks, embeddings, and training loops, will be helpful, though the book introduces each concept in context. If you’re an engineer seeking to deepen your AI skills, a researcher exploring multimodal learning, or simply an enthusiast who learns best by coding, this book is for you.









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