[{"_1":2,"_68":-5,"_69":-5},"loaderData",{"_3":4,"_38":39,"_66":-5,"_67":-5},"root",{"_5":-5,"_6":-5,"_7":8,"_22":23,"_24":25,"_26":27,"_30":31,"_36":37},"user","shoppingCartId","shoppingCart",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":20,"_21":14},"id","no-cart","count",0,"free",true,"updatedAt","2026-02-15T14:02:26.077Z","paymentGateway","STRIPE","cartItems",[],"loading","locale","en","readerTheme","system","constants",{"_28":29},"paypalClientId","AX53Cwz8jR6rVVzzZiZNWWXl0dGagi-GZrjG-S3Ua14E5nrKMn7DxDQ730O4R8LusLPp49ALn6aRVaEy","publishers",{"_32":33,"_34":35},"companies",[],"universities",[],"needsLocaleCookieSync",false,"routes/_store+/_readers+/email_author.$slug/route",{"_40":41,"_65":-5},"book",{"_9":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52},"Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzUxMTE","title","The Maths of DeepLearning","state","published","contactAuthorMethod","email","aboutText","

Unlock the black box of Deep Learning. This book takes you on a journey from the fundamental building blocks of vectors and dot products to the sophisticated calculus behind backpropagation and neural network optimization.

Unlike other guides that rely on high-level libraries, this book focuses on the why and how. You will build your intuition step-by-step:

Master the Basics: Understand how simple Perceptrons work using vectors and hyperplanes.
Demystify Optimization: Visualize Gradient Descent and see how machines \"learn\".
Crack Backpropagation: Derive the core algorithms of Deep Learning from scratch, first using the Chain Rule and then mastering Matrix Calculus.
Build from Scratch: Implement a neural network in Python without relying on \"magic\" frameworks, ensuring you truly understand the code.
Advanced Concepts: Dive into Softmax, Cross-Entropy Loss, and the matrix operations that power modern AI.

Perfect for developers, students, and enthusiasts who want to move beyond and truly grasp the mathematics driving the AI revolution.

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