I Built a Neural Network's First Neuron From Scratch — the 1958 Perceptron

<h2> Introduction </h2> <p>Neural networks work by building a system inspired by the human brain that can learn how to solve the problem by looking at examples.If you are new to

<p>Everyone imports <code>LinearRegression</code> from scikit-learn and moves on. Today we build it by hand — and you'll see that "training a model" is just a line sliding into a

<p>Every modern deep learning framework — PyTorch, TensorFlow, JAX — does one thing brilliantly: it computes gradients for you. Call <code>loss.backward()</code> and millions of

<p>Multilayer Perceptrons (MLPs) are the foundation of deep learning. This guide explains MLP intuition, real-world usage, and when you should (and shouldn’t) use it.</p>

<p>In my previous series of articles, we mainly explored the <strong>theory behind various neural network concepts</strong>.</p> <p>In this new series, we will focus on