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Neular networks and deep learning

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Title: Neural Networks and Deep Learning

Author: Michael Nielsen

License: Creative Commons (CC BY-NC-SA)

Format: PDF | ~280 pages

Level: Beginner to Intermediate


Description:

Neural Networks and Deep Learning is a groundbreaking, accessible introduction to one of the most transformative technologies of our time. Written by renowned scientist Michael Nielsen, this book takes readers on a hands-on journey through the core concepts behind neural networks and how they are applied in modern deep learning systems.


With clear explanations, intuitive diagrams, and practical Python examples, this book demystifies how machines learn to recognize images, translate languages, and even play complex games. It is perfect for students, developers, and curious minds who want to understand the magic behind AI—without needing advanced math or prior machine learning experience.


Whether you're building your first neural net or seeking a deeper grasp of AI fundamentals, this book provides both the foundation and inspiration to explore further.

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Pages
Size
3.9 MB
Length
281 pages
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