{"product_id":"neural-networks-demystified-gilbert-gutirrez-9798309795062","title":"Neural Networks Demystified: A Deep Learning Guide","description":"\u003ci\u003e(Book 7 of AI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence)\u003c\/i\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eUnlock the Power of Neural Networks and Master Deep Learning\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eNeural networks are transforming the world, powering innovations in artificial intelligence, machine learning, and deep learning. From self-driving cars to natural language processing, these intelligent models are shaping the future. But how do they work? And how can you build and train them? \u003cp\u003e\u003c\/p\u003e\u003cb\u003eNeural Networks Demystified: A Deep Learning Guide\u003c\/b\u003e is your step-by-step resource for understanding and implementing neural networks, whether you're a beginner or an experienced AI practitioner. As the seventh book in the \u003ci\u003eAI from Scratch: Step-by-Step Guide to Mastering Artificial Intelligence series\u003c\/i\u003e, this guide takes a structured and practical approach to teaching deep learning concepts, breaking down complex topics into easy-to-understand explanations with real-world applications. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn in This Book: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e1. Foundations of Neural Networks\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eThe history and evolution of neural networks\u003c\/li\u003e\n\u003cli\u003eMathematical foundations: linear algebra, calculus, and probability\u003c\/li\u003e\n\u003cli\u003eUnderstanding perceptrons, multilayer networks, and backpropagation\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003e2. Building Neural Networks from Scratch\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eActivation functions\u003c\/b\u003e (ReLU, Sigmoid, Softmax) and loss functions\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOptimization techniques\u003c\/b\u003e (Gradient Descent, Adam, RMSprop)\u003c\/li\u003e\n\u003cli\u003eImplementing a neural network using \u003cb\u003ePython \u003c\/b\u003eand \u003cb\u003eNumPy\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRegularization methods\u003c\/b\u003e (Dropout, Batch Normalization, Weight Decay)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003e3. Advanced Deep Learning Architectures\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eConvolutional Neural Networks (CNNs): \u003c\/b\u003e Image recognition and feature extraction\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRecurrent Neural Networks (RNNs) \u0026amp; LSTMs\u003c\/b\u003e: Time-series and NLP models\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTransformers \u0026amp; Attention Mechanisms\u003c\/b\u003e: Powering NLP advancements like GPT and BERT\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAutoencoders \u0026amp; Generative Models\u003c\/b\u003e: Data compression, anomaly detection, and GANs\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003e4. Real-World Applications \u0026amp; Deployment\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eHyperparameter tuning and model selection\u003c\/li\u003e\n\u003cli\u003eDeploying AI models using TensorFlow, PyTorch, and cloud platforms\u003c\/li\u003e\n\u003cli\u003eEthical AI, interpretability, and avoiding bias in neural networks\u003c\/li\u003e\n\u003cli\u003eFuture trends: self-supervised learning, edge AI, and quantum computing\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho Should Read This Book?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eBeginners \u0026amp; Enthusiasts\u003c\/b\u003e - No prior AI experience required; this book starts from the basics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware Engineers \u0026amp; Data Scientists\u003c\/b\u003e - Learn to build, optimize, and deploy neural networks.\u003c\/li\u003e\n\u003cli\u003eAI \u003cb\u003eResearchers \u0026amp; Professionals\u003c\/b\u003e - Deep dive into advanced architectures and real-world applications.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWhy This Book?\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eBeginner-Friendly Yet Comprehensive\u003c\/b\u003e - Covers both fundamentals and advanced topics step by step.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHands-On Learning\u003c\/b\u003e - Includes practical coding examples and real-world projects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eClear Explanations\u003c\/b\u003e - Complex concepts are broken down into simple, actionable insights.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustry Best Practices\u003c\/b\u003e - Learn AI deployment, scalability, and ethical considerations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eWhether you're looking to start your AI journey, advance your career, or explore deep learning for real-world projects, Neural Networks Demystified provides the knowledge and skills you need to master neural networks. \u003cp\u003e\u003c\/p\u003e\u003ci\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Gilbert Guti?rrez\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798309795062\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 02\/07\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 300\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.54lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.63d\u003c\/i\u003e","brand":"Gilbert Guti?rrez","offers":[{"title":"Paperback","offer_id":46838484992255,"sku":"9798309795062","price":29.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_499b1ab4-2afd-434d-b322-b511b74f5190.jpg?v=1746589976","url":"https:\/\/www.whiterainbookhouse.com\/products\/neural-networks-demystified-gilbert-gutirrez-9798309795062","provider":"WR Book House","version":"1.0","type":"link"}