Pytorch for Neural Networks Part 1: Writing Your First Neural Network in Pytorch

<p>Everything starts from something you already know:</p> <p>y = mx + c</p> <p>That's just a line. But stack enough of them, connect them, and add non-linearity? You have a neural

<p>Before transformers, before backprop, there was <strong>one neuron</strong> — Frank Rosenblatt's 1958 Perceptron. Build it and you understand the atom that every deep network

<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>