{"product_id":"deep-learning-from-scratch-thompson-carter-9798308586630","title":"Deep Learning from Scratch: Hands-On Guide to Neural Networks and AI Models","description":"\u003cb\u003eDeep Learning from Scratch: Hands-On Guide to Neural Networks and AI Models\u003c\/b\u003e\u003cp\u003eTake a deep dive into the world of artificial intelligence with \u003ci\u003eDeep Learning from Scratch\u003c\/i\u003e, the ultimate guide to mastering neural networks and building AI models. Whether you're a beginner eager to learn the basics or an experienced developer looking to deepen your understanding, this book walks you through the fundamental principles of deep learning and how to implement them step by step. Using practical examples and hands-on projects, this guide demystifies complex concepts and equips you to create powerful AI models from scratch.\u003c\/p\u003e\u003cp\u003eFrom understanding neural networks to training state-of-the-art AI systems, \u003ci\u003eDeep Learning from Scratch\u003c\/i\u003e empowers you to build the future of intelligent computing.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIntroduction to Deep Learning: \u003c\/b\u003e Understand the foundations of deep learning and how it differs from traditional machine learning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBuilding Neural Networks from Scratch: \u003c\/b\u003e Learn how to construct fully connected neural networks with Python and NumPy.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eActivation Functions: \u003c\/b\u003e Explore common activation functions like ReLU, sigmoid, and softmax, and their roles in neural networks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTraining Neural Networks: \u003c\/b\u003e Understand backpropagation, gradient descent, and how to optimize models for accuracy.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eConvolutional Neural Networks (CNNs): \u003c\/b\u003e Build models for image recognition and computer vision tasks using CNNs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRecurrent Neural Networks (RNNs): \u003c\/b\u003e Implement RNNs for sequence data like time series, text, and speech.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeep Reinforcement Learning: \u003c\/b\u003e Discover the basics of reinforcement learning and how to create AI agents that learn from their environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTransfer Learning: \u003c\/b\u003e Learn how to leverage pre-trained models to solve new tasks efficiently.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHyperparameter Tuning: \u003c\/b\u003e Master techniques to fine-tune learning rates, batch sizes, and model architectures for better performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eNatural Language Processing (NLP): \u003c\/b\u003e Build AI models for text analysis, sentiment classification, and chatbots.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eGenerative Models: \u003c\/b\u003e Explore GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to create new data from scratch.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eModel Evaluation: \u003c\/b\u003e Use metrics like precision, recall, F1-score, and confusion matrices to assess model performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeploying AI Models: \u003c\/b\u003e Learn how to deploy deep learning models using Flask, FastAPI, and cloud platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEthics in AI: \u003c\/b\u003e Address challenges like bias, fairness, and explainability in deep learning models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-World Projects: \u003c\/b\u003e Build practical applications, including image classifiers, language translators, and recommendation systems.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho Is This Book For?\u003c\/b\u003e\u003cbr\u003eThis book is ideal for data scientists, software developers, AI enthusiasts, and anyone looking to master the fundamentals of deep learning and build AI models from scratch.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhy Choose This Book?\u003c\/b\u003e\u003cbr\u003eWith its hands-on approach, practical projects, and detailed explanations, \u003ci\u003eDeep Learning from Scratch\u003c\/i\u003e bridges the gap between theory and application, empowering you to create cutting-edge AI solutions.\u003c\/p\u003e\u003cp\u003eStart building intelligent systems today with \u003ci\u003eDeep Learning from Scratch: Hands-On Guide to Neural Networks and AI Models\u003c\/i\u003e-your comprehensive guide to mastering deep learning.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Thompson Carter\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798308586630\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/29\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 266\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.79lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.56d","brand":"Thompson Carter","offers":[{"title":"Paperback","offer_id":48446756454655,"sku":"9798308586630","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_3afe2f94-e4ee-488e-9fba-80b3769f3b99.jpg?v=1777226755","url":"https:\/\/www.whiterainbookhouse.com\/products\/deep-learning-from-scratch-thompson-carter-9798308586630","provider":"WR Book House","version":"1.0","type":"link"}