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Input Size - kitne by kitne pixels ka input image hoga(Jaise isme 7×7 hai)
Padding - Extra squares add hoge outside of the Input Size Square
Kernel Size - Kitne pixel ko milaake ek pixel generate hoga(Jaise isme 4×4 se 1 pixel ho rha hai)
Stride - Kitne blocks ko chhodke kernel kitne move me traverse krta hai
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This series is basically my journey of learning Neural Networks, Deep Learning, and AI from scratch. I'll be sharing everything I learn in a simple and beginner-friendly way — from how neurons work and activation functions to backpropagation, CNNs, RNNs, Transformers, and real-world projects. No unnecessary jargon, just practical explanations, examples, code, and things that actually help you understand what's going on under the hood.
Input Layer - Drawn image ko pixels me convert karta hai Raw input in a neural network Convolutional Layer - Multiple layers create hoti hai by a single layer har layer alag alag views sho
Input Layer - Drawn image ko pixels me convert karta hai Raw input in a neural network Convolutional Layer - Multiple layers create hoti hai by a single layer har layer alag alag views sho
Studied Neural Networks make my first hacknode guidehttp://nnwithvoidroot.hashnode.space/