Neural Networks Demystified
A Practical Guide to Understanding and Building Deep Learning Models
What if the key to building powerful AI models isn't about understanding complex mathematics, but rather grasping the intuitive principles behind how neural networks learn? This book strips away the intimidation factor and reveals the practical logic underlying neural network architectures. You'll discover why certain architectures excel at image recognition while others dominate natural language processing, and how to select the right model for your specific challenge. Through clear explanations, real-world examples, and hands-on insights, you'll move from theoretical understanding to practical implementation. Whether you're building your first deep learning model or optimizing existing systems, this guide equips you with the knowledge to make informed architectural decisions, troubleshoot training issues, and leverage modern techniques like transfer learning. Master the architectures reshaping AI and data science today.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Feb 16, 2026
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