Neural Networks from Scratch with Python: The Beginner's Guide to Building Deep Learning Models Without Complex Frameworks
Format:
Paperback
En stock
0.28 kg
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Amazon
USA
- Tired of feeling lost in the "black box" of AI?You've tried to get into python machine learning, but every book you pick up is either a dense mathematical textbook or a user manual for a complex, quickly outdated framework. You want to understand not just how to use a tool, but why it works. You need a rock-solid foundation that will last your entire career and help you build your own neural network.Neural Networks from Scratch with Python is your definitive guide to deep learning from scratch. It's the book that fills the massive gap in the market by empowering you to build a complete, working model using only Python and its foundational libraries. We specifically designed this as a guide for any aspiring professional interested in data science with python.Jargon-Free Explanations: We demystify core concepts, from how backpropagation works to understanding common machine learning algorithms.A "Durable" Education: Learn the timeless principles that apply to any framework, including tensor flow for beginners and even tackling keras for dummies-level problems.A Guide for Every Learner: This is the ideal book for any neural network for beginners, providing hands-on projects and expert insights.Expert Insights & Case Studies: Discover hidden gems and solve real-world problems with practical, project-based examples to help you start your journey in python for AI. Stop just copying and pasting code. Start building AI that you truly understand. Get your copy today!
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