Beginner MLP Tutorial Slides

I’m putting together a short 2-D animated video that explains how a simple multi-layer perceptron is built and trained, and I need a ready-to-use Microsoft PowerPoint deck to drive the narration. The slides should guide a complete beginner—me—through a tiny network with just a handful of inputs, one hidden layer and an output layer, keeping the maths friendly and the theory light. Here’s the flow I have in mind: start by sketching the overall assembly (inputs → hidden → output) so viewers see where weights and biases live. Then walk forward through one sample calculation: show how each weight and its bias contribute to the neuron’s output, include the activation, and move that result down the network. Once an initial prediction is made, calculate a simple error (MSE is fine), and demonstrate back-propagation: step by step, outline how that error influences each weight and bias, finishing with the updated values. Re-run the forward pass once so the audience sees the improvement. I’ll be turning this into animation, so each slide should focus on a single action or concept with clear numbers, concise labels, and short speaker-notes that double as my voice-over script. Keep it practical: no long derivations, just the essential equations and why they matter. A starter slide introducing notation and a closing slide summarising the whole routine would be perfect. Deliverable: a polished .pptx file ready to drop into my video workflow, with enough embedded guidance that I can rerecord or tweak timings without coming back for clarifications.

Project ID: 39737434